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Witold Pedrycz
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- affiliation: University of Alberta, Edmonton, Canada
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2020 – today
- 2025
- [j1393]Xu Han
, Qiang Li, Yaling Qi, Hongbo Cao, Witold Pedrycz, Wei Wang:
ScamGen: Unveiling psychological patterns in tele-scam through advanced template-augmented corpus generation. Comput. Hum. Behav. 162: 108451 (2025) - [j1392]Sarah Qahtan
Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technology. Expert Syst. Appl. 259: 125304 (2025) - [j1391]Suping Xu, Lin Shang, Furao Shen, Xibei Yang, Witold Pedrycz:
Incomplete label distribution learning via label correlation decomposition. Inf. Fusion 113: 102600 (2025) - 2024
- [j1390]Narges Baharloo, Jamal Bentahar
Verifying trust over IoT-ad hoc network-based applications under uncertainty. Ad Hoc Networks 154: 103380 (2024) - [j1389]Zhen-Song Chen
Multiobjective optimization-based decision support for building digital twin maturity measurement. Adv. Eng. Informatics 59: 102245 (2024) - [j1388]Marijana Pavlov-Kagadejev
Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting. Artif. Intell. Rev. 57(3): 45 (2024) - [j1387]Fei Yan, Hesheng Huang, Witold Pedrycz, Kaoru Hirota:
Review of medical image processing using quantum-enabled algorithms. Artif. Intell. Rev. 57(11): 300 (2024) - [j1386]Alvin Wai Chung Lee, Suet-Peng Yong
Testing a Vision-Based Autonomous Drone Navigation Model in a Forest Environment. Algorithms 17(4): 139 (2024) - [j1385]Xunjin Wu, Jianming Zhan
MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection. Appl. Intell. 54(2): 1706-1733 (2024) - [j1384]Ying Yu
Multi-level information fusion Transformer with background filter for fine-grained image recognition. Appl. Intell. 54(17-18): 8108-8119 (2024) - [j1383]Min Li, Luefeng Chen, Min Wu, Kaoru Hirota, Witold Pedrycz:
Broad-deep network-based fuzzy emotional inference model with personal information for intention understanding in human-robot interaction. Annu. Rev. Control. 57: 100951 (2024) - [j1382]Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Ying-Wu Chen, Yutong Wu
Ensemble reinforcement learning: A survey. Appl. Soft Comput. 149(Part A): 110975 (2024) - [j1381]Fei Yan
A disease diagnosis system for smart healthcare based on fuzzy clustering and battle royale optimization. Appl. Soft Comput. 151: 111123 (2024) - [j1380]Muhammet Deveci
Advantage prioritization of digital carbon footprint awareness in optimized urban mobility using fuzzy Aczel Alsina based decision making. Appl. Soft Comput. 151: 111136 (2024) - [j1379]Bingsheng Liu, Boyang Wang, Yinghua Shen, Witold Pedrycz, Yuan Chen:
Granular fuzzy rule-based model construction under the collaboration of multiple organizations. Appl. Soft Comput. 152: 111191 (2024) - [j1378]Fan Bu
Fuzzy clustering-based neural network based on linear fitting residual-driven weighted fuzzy clustering and convolutional regularization strategy. Appl. Soft Comput. 154: 111403 (2024) - [j1377]Kuo Pang, Yifan Lu, Luis Martínez-López
A conceptual clustering method for large-scale group decision-making with linguistic truth-valued lattice implication algebra. Appl. Soft Comput. 155: 111418 (2024) - [j1376]Ziqian Luo, Fang Liu
A two-objective-optimization-driven group decision making model under the bipolarity of decision information. Appl. Soft Comput. 155: 111439 (2024) - [j1375]Xiaoyu Han, Xiubin Zhu, Witold Pedrycz, Almetwally M. Mostafa
A design of fuzzy rule-based classifier optimized through softmax function and information entropy. Appl. Soft Comput. 156: 111498 (2024) - [j1374]Ao Hu, Kaijie Xu
LiDAR point cloud simplification algorithm with fuzzy encoding-decoding mechanism. Appl. Soft Comput. 162: 111852 (2024) - [j1373]Mohammed Talal
Evaluation and benchmarking of research-based microgrid systems using FWZIC-VIKOR approach for sustainable energy management. Appl. Soft Comput. 166: 112132 (2024) - [j1372]Yuqing Tang, Fusheng Yu
Oriented to a multi-learning mode: Establishing trend-fuzzy-granule-based LSTM neural networks for time series forecasting. Appl. Soft Comput. 166: 112195 (2024) - [j1371]Hongyue Guo, Yashuang Mu, Lidong Wang, Xiaodong Liu, Witold Pedrycz:
Granular computing-based time series anomaly pattern detection with semantic interpretation. Appl. Soft Comput. 167: 112318 (2024) - [j1370]Li Ying
Multi-granularity feature enhancement network for maritime ship detection. CAAI Trans. Intell. Technol. 9(3): 649-664 (2024) - [j1369]Weidong Wu, Haiming Liang, Yuzhu Wu, Bowen Zhang, Witold Pedrycz:
Minimum cost with consensus constraint to support multi-attribute product design. Comput. Ind. Eng. 192: 110190 (2024) - [j1368]Han Wang, Yao-Jiao Xin, Muhammet Deveci, Witold Pedrycz, Zengqiang Wang
Leveraging online reviews and expert opinions for electric vehicle type prioritization. Comput. Ind. Eng. 197: 110579 (2024) - [j1367]Xueqin Liang
Introduction to the Special Issue on Recent Advances of Blockchain Evolution: Architecture and Performance. Distributed Ledger Technol. Res. Pract. 3(2): 8 (2024) - [j1366]Muhammet Deveci
Accelerating the integration of the metaverse into urban transportation using fuzzy trigonometric based decision making. Eng. Appl. Artif. Intell. 127(Part A): 107242 (2024) - [j1365]Jiamin Liu
Assessing growth potential of careers with occupational mobility network and ensemble framework. Eng. Appl. Artif. Intell. 127(Part A): 107306 (2024) - [j1364]Karrar Hameed Abdulkareem, Mohammed Ahmed Subhi
A manifold intelligent decision system for fusion and benchmarking of deep waste-sorting models. Eng. Appl. Artif. Intell. 132: 107926 (2024) - [j1363]Tingting Pan, Witold Pedrycz, Jie Yang
An improved generative adversarial network to oversample imbalanced datasets. Eng. Appl. Artif. Intell. 132: 107934 (2024) - [j1362]Jian Wang, Xiaofeng Xue, Zhixue Sun, Jun Yao, El-Sayed M. El-Alfy
Theory guided Lagrange programming neural network for subsurface flow problems. Eng. Appl. Artif. Intell. 134: 108656 (2024) - [j1361]Shoaib Azam
Exploring Contextual Representation and Multi-modality for End-to-end Autonomous Driving. Eng. Appl. Artif. Intell. 135: 108767 (2024) - [j1360]Peng Wang
Trust exploration- and leadership incubation- based opinion dynamics model for social network group decision-making: A quantum theory perspective. Eur. J. Oper. Res. 317(1): 156-170 (2024) - [j1359]Fanyong Meng, Dengyu Zhao, Zaiwu Gong, Junfei Chu, Witold Pedrycz, Zhe Yuan
Consensus adjustment for multi-attribute group decision making based on cross-allocation. Eur. J. Oper. Res. 318(1): 200-216 (2024) - [j1358]Ting Huang, Witold Pedrycz, Qiang Zhang, Xiaoan Tang, Shanlin Yang:
Constructing order-2 information granules of linguistic expressions with the aid of the principle of justifiable granularity. Eur. J. Oper. Res. 318(3): 892-910 (2024) - [j1357]Hassan A. AlSattar
Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy. Expert Syst. Appl. 236: 121300 (2024) - [j1356]Iman Mohamad Sharaf, Abdullah Hussein Alamoodi, Osamah Shihab Albahri
Architecture selection for 5G-radio access network using type-2 neutrosophic numbers based decision making model. Expert Syst. Appl. 237(Part A): 121420 (2024) - [j1355]Xinxing Wu
Generalized TODIM method based on symmetric intuitionistic fuzzy Jensen-Shannon divergence. Expert Syst. Appl. 237(Part B): 121554 (2024) - [j1354]Saidul Islam
A comprehensive survey on applications of transformers for deep learning tasks. Expert Syst. Appl. 241: 122666 (2024) - [j1353]Narges Baharloo, Jamal Bentahar
Model checking combined trust and commitments in Multi-Agent Systems. Expert Syst. Appl. 243: 122856 (2024) - [j1352]Ghalya Alwhishi
MV-Checker: A software tool for multi-valued model checking intelligent applications with trust and commitment. Expert Syst. Appl. 245: 123113 (2024) - [j1351]Majed M. Alateeq
Logic-oriented fuzzy neural networks: A survey. Expert Syst. Appl. 257: 125120 (2024) - [j1350]Yi Yang
Using I-subgroup-based weighted generalized interval t-norms for aggregating basic uncertain information. Fuzzy Sets Syst. 476: 108771 (2024) - [j1349]Bin Yu, Zijian Zheng, Mingjie Cai
FRCM: A fuzzy rough c-means clustering method. Fuzzy Sets Syst. 480: 108860 (2024) - [j1348]Ngo Van Hoa
A new approach to the fractional Abel k-integral equations and linear fractional differential equations in a fuzzy environment. Fuzzy Sets Syst. 481: 108895 (2024) - [j1347]Pawel Karczmarek
Analysis of smooth and enhanced smooth quadrature-inspired generalized Choquet integral. Fuzzy Sets Syst. 483: 108926 (2024) - [j1346]Zhen-Song Chen
Generalized extended Bonferroni means for isomorphic membership grades. Fuzzy Sets Syst. 488: 109009 (2024) - [j1345]Huilin Yang
An auto-weighted enhanced horizontal collaborative fuzzy clustering algorithm with knowledge adaption mechanism. Int. J. Approx. Reason. 169: 109169 (2024) - [j1344]Muhammad Gulistan, Witold Pedrycz:
Introduction to q-Fractional Fuzzy Set. Int. J. Fuzzy Syst. 26(5): 1399-1416 (2024) - [j1343]Yudi Zhang
Rough Fuzzy K-Means Clustering Based on Parametric Decision-Theoretic Shadowed Set with Three-Way Approximation. Int. J. Fuzzy Syst. 26(5): 1698-1715 (2024) - [j1342]Yi Yang
Cross-Platform Distributed Product Online Ratings Aggregation Approach for Decision Making with Basic Uncertain Linguistic Information. Int. J. Fuzzy Syst. 26(6): 1936-1957 (2024) - [j1341]Wladyslaw Homenda
Time series classification with their image representation. Neurocomputing 573: 127214 (2024) - [j1340]Mirko Farina
Sparsity in transformers: A systematic literature review. Neurocomputing 582: 127468 (2024) - [j1339]Rami Al-Hmouz, Witold Pedrycz, Medhat Awadallah, Ahmed Chiheb Ammari:
Granular transfer learning. Neurocomputing 600: 128126 (2024) - [j1338]Zhen-Song Chen
Optimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectives. Inf. Fusion 102: 102026 (2024) - [j1337]Ghalya Alwhishi
Multi-valued model checking IoT and intelligent systems with commitment protocols in multi-source data environments. Inf. Fusion 102: 102048 (2024) - [j1336]Qianli Zhou
Conjunctive and disjunctive combination rules in random permutation set theory: A layer-2 belief structure perspective. Inf. Fusion 102: 102083 (2024) - [j1335]Zhen-Song Chen
Dynamic collective opinion generation framework for digital transformation barrier analysis in the construction industry. Inf. Fusion 103: 102096 (2024) - [j1334]Ahmed Shihab Albahri
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks. Inf. Fusion 105: 102208 (2024) - [j1333]Sha Fan, Haiming Liang, Witold Pedrycz, Dong Yue:
Integrating incomplete preference estimation and consistency control in consensus reaching. Inf. Fusion 106: 102268 (2024) - [j1332]Qiurui Liu, Yanfang Ma, Lin Chen, Witold Pedrycz, Miroslaw J. Skibniewski, Zhen-Song Chen
Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review. Inf. Fusion 109: 102423 (2024) - [j1331]Doudou Guo, Weihua Xu, Weiping Ding, Yiyu Yao, Xizhao Wang, Witold Pedrycz, Yuhua Qian:
Concept-cognitive learning survey: Mining and fusing knowledge from data. Inf. Fusion 109: 102426 (2024) - [j1330]Sha Fan, Haiming Liang, Cong-Cong Li, Francisco Chiclana, Witold Pedrycz, Yucheng Dong:
Optimal resources allocation to support the consensus reaching in group decision making. Inf. Fusion 110: 102451 (2024) - [j1329]Zhe Liu
An effective multi-source data fusion approach based on α-divergence in belief functions theory with applications to air target recognition and fault diagnosis. Inf. Fusion 110: 102458 (2024) - [j1328]Ghalya Alwhishi
Multi-valued verification of commitment systems with uncertainty and inconsistency in multi-source data settings. Inf. Fusion 111: 102502 (2024) - [j1327]Zhenyu Jiang, Jiliang Li
Scalable Graph-Aware Edge Representation Learning for Wireless IoT Intrusion Detection. IEEE Internet Things J. 11(16): 26955-26969 (2024) - [j1326]Rafik A. Aliev, Witold Pedrycz, Babek G. Guirimov, Oleg H. Huseynov, Rafig R. Aliyev:
Z-relation-based multistage decision making. Inf. Sci. 653: 119799 (2024) - [j1325]Hengrong Ju
Multi-association evidential feature selection and its application to identifying schizophrenia. Inf. Sci. 674: 120647 (2024) - [j1324]Waldemar W. Koczkodaj
On homology groups for pairwise comparisons method. Inf. Sci. 681: 121195 (2024) - [j1323]Zafran Khan, Jeonghwan Gwak, Naima Iltaf, Witold Pedrycz, Moongu Jeon:
RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media. J. Big Data 11(1): 12 (2024) - [j1322]Mingjie Gao
Cascade AdaBoost Neural Network Classifier: Analysis and Design. J. Circuits Syst. Comput. 33(7): 2450124:1-2450124:22 (2024) - [j1321]Baitong Chen
Distributed Event-Triggered Algorithm with Network Independent Step-Size for Constraint-Coupled Optimization Problems. J. Circuits Syst. Comput. 33(12): 2450222:1-2450222:24 (2024) - [j1320]Weizhong Wang, Yi Wang, Yu Chen, Muhammet Deveci, Seifedine Kadry, Witold Pedrycz:
Analyzing the barriers to resilience supply chain adoption in the food industry using hybrid interval-valued fermatean fuzzy PROMETHEE-II model. J. Ind. Inf. Integr. 40: 100614 (2024) - [j1319]Seyyed Meysam Rozehkhani
Efficient cloud data center: An adaptive framework for dynamic Virtual Machine Consolidation. J. Netw. Comput. Appl. 226: 103885 (2024) - [j1318]Jindong Qin, Mingzhi Zeng, Xiao Wei, Witold Pedrycz:
Ranking products through online reviews: A novel data-driven method based on interval type-2 fuzzy sets and sentiment analysis. J. Oper. Res. Soc. 75(5): 860-873 (2024) - [j1317]Luefeng Chen, Xiao Liu, Min Wu, Chengda Lu, Witold Pedrycz, Kaoru Hirota:
A LESO Based Backstepping Controller Considering Coal Seam Hardness for Rotary Speed in Coal Mine Tunnel Drilling Process. J. Syst. Sci. Complex. 37(5): 1789-1808 (2024) - [j1316]Yoonji Baek, Hanju Kim, Myungha Cho, Hyeonmo Kim, Chanhee Lee, Taewoong Ryu, Heonho Kim, Bay Vo, Vincent W. Gan, Philippe Fournier-Viger, Jerry Chun-Wei Lin
An efficient approach for incremental erasable utility pattern mining from non-binary data. Knowl. Inf. Syst. 66(10): 5919-5958 (2024) - [j1315]Lu Chen
Analysis of power asymmetry conflict based on fuzzy options graph models. Knowl. Based Syst. 284: 111221 (2024) - [j1314]Yong Wang
A fuzzy-guided adaptive algorithm with hierarchy mechanism for solving dynamic multi-objective optimization problems. Knowl. Based Syst. 284: 111227 (2024) - [j1313]Qin Chang, Zhen Zhang, Fanyue Wei, Jian Wang
Adaptive Nonstationary Fuzzy Neural Network. Knowl. Based Syst. 288: 111398 (2024) - [j1312]Kun Zhou
A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting. Knowl. Based Syst. 289: 111481 (2024) - [j1311]Zhen-Song Chen
Towards a collective opinion generation approach with multiple objectives for evaluating rail transit station accessibility in urban areas. Knowl. Based Syst. 294: 111721 (2024) - [j1310]Vule Mizdrakovic
Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values. Knowl. Based Syst. 299: 112026 (2024) - [j1309]Weihao Zhang, Lei Yu, Huiqi Wang, Witold Pedrycz:
End-to-end dynamic residual focal transformer network for multimodal medical image fusion. Neural Comput. Appl. 36(19): 11579-11601 (2024) - [j1308]Yanjie Song
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities. Swarm Evol. Comput. 86: 101517 (2024) - [j1307]Tianwei Zhou
Two-stage knowledge-assisted coevolutionary NSGA-II for bi-objective path planning of multiple unmanned aerial vehicles. Swarm Evol. Comput. 90: 101680 (2024) - [j1306]Weichang Sun, Zhihao Luo, Xingchen Hu, Witold Pedrycz, Jianmai Shi:
An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre-reconnaissance. Swarm Evol. Comput. 91: 101699 (2024) - [j1305]Lingjing Luo, Hang Yang, Zhiwu Li, Witold Pedrycz:
Learning to Score: A Coding System for Constructed Response Items via Interactive Clustering. Syst. 12(9): 380 (2024) - [j1304]Yanjie Song
Energy-Efficient Satellite Range Scheduling Using a Reinforcement Learning-Based Memetic Algorithm. IEEE Trans. Aerosp. Electron. Syst. 60(4): 4073-4087 (2024) - [j1303]Guohua Wu, Zhiqing Xiang, Yalin Wang, Yi Gu, Witold Pedrycz:
Improved Adaptive Large Neighborhood Search Algorithm Based on the Two-Stage Framework for Scheduling Multiple Super-Agile Satellites. IEEE Trans. Aerosp. Electron. Syst. 60(5): 7185-7200 (2024) - [j1302]Wentao Li
Double-Quantitative Feature Selection Approach for Multigranularity Ordered Decision Systems. IEEE Trans. Artif. Intell. 5(5): 2385-2396 (2024) - [j1301]Yiming Tang
Modeling and Clustering of Parabolic Granular Data. IEEE Trans. Artif. Intell. 5(7): 3728-3742 (2024) - [j1300]Xiuyu Huang
Shallow Inception Domain Adaptation Network for EEG-Based Motor Imagery Classification. IEEE Trans. Cogn. Dev. Syst. 16(2): 521-533 (2024) - [j1299]Xiuyu Huang
Frequency Domain Channel-Wise Attack to CNN Classifiers in Motor Imagery Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 71(5): 1587-1598 (2024) - [j1298]Nahia Mourad
Decisioning-Based Approach for Optimising Control Engineering Tools Using Digital Twin Capabilities and Other Cyber-Physical Metaverse Manufacturing System Components. IEEE Trans. Consumer Electron. 70(1): 3212-3221 (2024) - [j1297]Xiubin Zhu
From Numeric to Granular Models: A Quest for Error and Performance Analysis. IEEE Trans. Cybern. 54(1): 150-161 (2024) - [j1296]Cong Wang
Comparative Study on Noise-Estimation-Based Fuzzy C-Means Clustering for Image Segmentation. IEEE Trans. Cybern. 54(1): 241-253 (2024) - [j1295]Tengfei Zhang
Local Boundary Fuzzified Rough K-Means-Based Information Granulation Algorithm Under the Principle of Justifiable Granularity. IEEE Trans. Cybern. 54(1): 519-532 (2024) - [j1294]Jianglin Lu
Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning. IEEE Trans. Cybern. 54(1): 533-545 (2024) - [j1293]Hongyue Guo
Weighted Fuzzy Clustering for Time Series With Trend-Based Information Granulation. IEEE Trans. Cybern. 54(2): 903-914 (2024) - [j1292]Congcong Zhang
Incremental Fuzzy Clustering-Based Neural Networks Driven With the Aid of Dynamic Input Space Partition and Quasi-Fuzzy Local Models. IEEE Trans. Cybern. 54(5): 2978-2991 (2024) - [j1291]Shuangrong Liu
Fuzzy Adaptive Knowledge-Based Inference Neural Networks: Design and Analysis. IEEE Trans. Cybern. 54(9): 4875-4888 (2024) - [j1290]Zulin Liu, Fang Liu
A Relative Projection-Based Multiattribute Group Decision-Making Model With Noncooperative Behavior Management and Application to NEV Supplier Selection. IEEE Trans. Cybern. 54(10): 5852-5865 (2024) - [j1289]Jie Wang
TrustGuard: GNN-Based Robust and Explainable Trust Evaluation With Dynamicity Support. IEEE Trans. Dependable Secur. Comput. 21(5): 4433-4450 (2024) - [j1288]Jian-Peng Chang
Evaluating Holistic Privacy Risk Posed by Smart Home Ecosystem: A Capability-Oriented Model Accommodating Epistemic Uncertainty and Wisdom of Crowds. IEEE Trans. Engineering Management 71: 5372-5390 (2024) - [j1287]Weiping Ding
Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 126-139 (2024) - [j1286]Yiming Tang
Universal Quintuple Implicational Algorithm: A Unified Granular Computing Framework. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 1044-1056 (2024) - [j1285]LeSheng Jin
Aggregation of Basic Uncertain Information With Two-Step Aggregation Frame. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1102-1109 (2024) - [j1284]Tailong Jing
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1136-1141 (2024) - [j1283]Qian Shi
Robust Learning-Based Gain-Scheduled Path Following Controller Design for Autonomous Ground Vehicles. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1427-1436 (2024) - [j1282]Yifan Wang
Convolutional Fuzzy Neural Networks With Random Weights for Image Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3279-3293 (2024) - [j1281]Shuangrong Liu
Reinforced Interval Type-2 Fuzzy Clustering-Based Neural Network Realized Through Attention-Based Clustering Mechanism and Successive Learning. IEEE Trans. Fuzzy Syst. 32(3): 1208-1222 (2024) - [j1280]Fan Li
Deep Fuzzy Envelope Sample Generation Mechanism for Imbalanced Ensemble Classification. IEEE Trans. Fuzzy Syst. 32(3): 1248-1262 (2024) - [j1279]Zonglin Yang
A Trend-Granulation-Based Fuzzy C-Means Algorithm for Clustering Interval-Valued Time Series. IEEE Trans. Fuzzy Syst. 32(3): 1263-1277 (2024) - [j1278]Xu Yang
Multitime Scale Thunderstorm Monitoring System With Real-Time Warning and Imaging. IEEE Trans. Fuzzy Syst. 32(4): 1821-1835 (2024) - [j1277]Youpeng Yang
Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition. IEEE Trans. Fuzzy Syst. 32(4): 1836-1847 (2024) - [j1276]Xingchen Hu
An Efficient Federated Multiview Fuzzy C-Means Clustering Method. IEEE Trans. Fuzzy Syst. 32(4): 1886-1899 (2024) - [j1275]Witold Pedrycz
Optimal Granularity of Machine Learning Models: A Perspective of Granular Computing. IEEE Trans. Fuzzy Syst. 32(4): 2176-2186 (2024) - [j1274]Yingying Liang
Optimizing-Information-Granule-Based Consensus Reaching Model in Large-Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 32(4): 2413-2427 (2024) - [j1273]Kun Zhou
Design of Hierarchical Neural Networks Using Deep LSTM and Self-Organizing Dynamical Fuzzy-Neural Network Architecture. IEEE Trans. Fuzzy Syst. 32(5): 2915-2929 (2024) - [j1272]Xiubin Zhu
A Development of Fuzzy-Rule-Based Regression Models Through Using Decision Trees. IEEE Trans. Fuzzy Syst. 32(5): 2976-2986 (2024) - [j1271]Yiming Tang
An Overall Framework of Modeling, Clustering, and Evaluation for Trapezoidal Information Granules. IEEE Trans. Fuzzy Syst. 32(6): 3484-3496 (2024) - [j1270]Ge Zhang
Fuzzy Prediction Model in Privacy Protection: Takagi-Sugeno Rules Model via Differential Privacy. IEEE Trans. Fuzzy Syst. 32(6): 3716-3728 (2024) - [j1269]Ziwei Bian
Takagi-Sugeno-Kang Fuzzy Systems for High-Dimensional Multilabel Classification. IEEE Trans. Fuzzy Syst. 32(6): 3790-3804 (2024) - [j1268]Shuangrong Liu
SCINN: Semantic Concept-Based Inference Neural Networks With Explainable and Deep Fuzzy Structure. IEEE Trans. Fuzzy Syst. 32(7): 4133-4147 (2024) - [j1267]Zhen-Sheng Zang
A Linguistically Interpretable Deep Fuzzy Classification System With Feature Transformation and Reconstruction. IEEE Trans. Fuzzy Syst. 32(8): 4297-4311 (2024) - [j1266]Chenxi Ouyang
Constructing Spatial Relationship and Temporal Relationship Oriented Composite Fuzzy Cognitive Maps for Multivariate Time Series Forecasting. IEEE Trans. Fuzzy Syst. 32(8): 4338-4351 (2024) - [j1265]Bin Yu
CBCG: A Clustering Algorithm Based on Bidirectional Conical Information Granularity. IEEE Trans. Fuzzy Syst. 32(8): 4388-4400 (2024) - [j1264]Bozena Malysiak-Mrozek
Interpreting Industrial IoT Data Streams Through Fuzzy Querying With Hysteretic Fuzzy Sets on Apache Kafka. IEEE Trans. Fuzzy Syst. 32(8): 4671-4684 (2024) - [j1263]Yuanhang Zheng
Biobjective Optimization Method for Large-Scale Group Decision Making Based on Hesitant Fuzzy Linguistic Preference Relations With Granularity Levels. IEEE Trans. Fuzzy Syst. 32(8): 4759-4771 (2024) - [j1262]Sheng Du
Time Series Anomaly Detection via Rectangular Information Granulation for Sintering Process. IEEE Trans. Fuzzy Syst. 32(8): 4799-4804 (2024) - [j1261]Jiqiang Chen
A New Neurodynamics-Based Model for Fuzzy Convex Optimization Problems With Fuzzy Coefficients and General Constraints. IEEE Trans. Fuzzy Syst. 32(9): 5073-5085 (2024) - [j1260]Xingchen Hu
A Design of Fuzzy Rule-Based Classifier for Multiclass Classification and Its Realization in Horizontal Federated Learning. IEEE Trans. Fuzzy Syst. 32(9): 5098-5108 (2024) - [j1259]Zhen Wang
Self-Organizing Hybrid Fuzzy Polynomial Neural Network Classifier Driven Through Dynamically Adaptive Structure and Compound Regularization Technique. IEEE Trans. Fuzzy Syst. 32(9): 5385-5399 (2024) - [j1258]Hao Huang, Sung-Kwun Oh, Zunwei Fu, Chuan-Kun Wu, Witold Pedrycz, Jin-Yul Kim:
FSCNN: Fuzzy Channel Filter-Based Separable Convolution Neural Networks for Medical Imaging Recognition. IEEE Trans. Fuzzy Syst. 32(10): 5449-5461 (2024) - [j1257]Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F. Frangi, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. IEEE Trans. Fuzzy Syst. 32(10): 5462-5476 (2024) - [j1256]Zheng Wang, Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Jin Hee Yoon:
Reinforced Fuzzy-Rule-Based Neural Networks Realized Through Streamlined Feature Selection Strategy and Fuzzy Clustering With Distance Variation. IEEE Trans. Fuzzy Syst. 32(10): 5674-5686 (2024) - [j1255]Qi Lang, Witold Pedrycz, Xiaodong Liu, Yan Fang:
A Tree-Shaped Fuzzy Clustering Answer Retrieval Model Based on Question Alignment. IEEE Trans. Fuzzy Syst. 32(10): 5845-5857 (2024) - [j1254]Yuqing Tang, Fusheng Yu, Witold Pedrycz:
Synergizing Two Types of Fuzzy Information Granules for Accurate and Interpretable Multistep Forecasting of Time Series. IEEE Trans. Fuzzy Syst. 32(10): 5910-5923 (2024) - [j1253]Jie Hu
Dynamic Modeling Framework Based on Automatic Identification of Operating Conditions for Sintering Carbon Consumption Prediction. IEEE Trans. Ind. Electron. 71(3): 3133-3141 (2024) - [j1252]Xiaohan Yuan
FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks. IEEE Trans. Inf. Forensics Secur. 19: 777-792 (2024) - [j1251]Eun-Hu Kim
Design of Tobacco Leaves Classifier Through Fuzzy Clustering-Based Neural Networks With Multiple Histogram Analyses of Images. IEEE Trans. Ind. Informatics 20(3): 4698-4709 (2024) - [j1250]Yuanfeng Huang
Condition Recognition Strategy Based on Fuzzy Clustering With Information Granulation for Blast Furnace. IEEE Trans. Ind. Informatics 20(4): 5864-5873 (2024) - [j1249]Jie Hu
Soft-Sensing of Burn-Through Point Based on Weighted Kernel Just-in-Time Learning and Fuzzy Broad-Learning System in Sintering Process. IEEE Trans. Ind. Informatics 20(5): 7316-7324 (2024) - [j1248]Huimin Zhang
Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models. IEEE Trans. Knowl. Data Eng. 36(11): 5621-5632 (2024) - [j1247]Juanying Xie
Feature Selection With Discernibility and Independence Criteria. IEEE Trans. Knowl. Data Eng. 36(11): 6195-6209 (2024) - [j1246]Kehua Yuan
Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery. IEEE Trans. Knowl. Data Eng. 36(11): 7326-7339 (2024) - [j1245]Yang Nan
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7391-7404 (2024) - [j1244]Wei Huang
Deep Fuzzy Min-Max Neural Network: Analysis and Design. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8229-8240 (2024) - [j1243]Luefeng Chen
Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human-Robot Interaction. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9663-9673 (2024) - [j1242]Luefeng Chen
Convolutional Features-Based Broad Learning With LSTM for Multidimensional Facial Emotion Recognition in Human-Robot Interaction. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 64-75 (2024) - [j1241]Fanyong Meng
Consensus Analysis for Large-Scale Group Decision Making Based on Two-Stage Nash-Bargaining Game. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 556-567 (2024) - [j1240]Yueqi Chen
A New Oversampling Method Based on Triangulation of Sample Space. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 774-786 (2024) - [j1239]Xiubin Zhu
Privacy-Preserving Realization of Fuzzy Clustering and Fuzzy Modeling Through Vertical Federated Learning. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 915-924 (2024) - [j1238]Yanjie Song
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2576-2589 (2024) - [j1237]Tao Zhan
Adaptive Sliding Mode Control for Nonlinear Impulsive Time-Delay Hybrid Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 4688-4700 (2024) - [j1236]Xiaofeng Xu, Ziru Lin, Xiang Li, Wanli Yi, Witold Pedrycz:
Flexible Districting Policy for the Multiperiod Emergency Resource Allocation Problem With Demand Priority. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6977-6988 (2024) - [j1235]Yuan Su
Oracle Based Privacy-Preserving Cross-Domain Authentication Scheme. IEEE Trans. Sustain. Comput. 9(4): 602-614 (2024) - [j1234]Siyou Tao
Tire Road Friction Coefficient Estimation for Individual Wheel Based on Two Robust PMI Observers and a Multilayer Perceptron. IEEE Trans. Veh. Technol. 73(9): 12530-12541 (2024) - [c286]Rauzan Sumara
A Dictionary-Based with Stacked Ensemble Learning to Time Series Classification. ICCS (3) 2024: 120-128 - [c285]Xiao Liu, Luefeng Chen, Min Wu, Weihua Cao, Chengda Lu, Witold Pedrycz:
Robust Control of Feeding Speed for Coal Mine Tunnel Drilling Machines. ICIT 2024: 1-6 - [c284]Rauzan Sumara, Wladyslaw Homenda, Witold Pedrycz:
ARFIMA for Feature-Based Time Series Classification. PACIS 2024 - [i46]Jia Wei, Xingjun Zhang, Witold Pedrycz:
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion. CoRR abs/2403.15766 (2024) - [i45]Xu Wu, Xianxu Hou, Zhihui Lai, Jie Zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen:
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement. CoRR abs/2404.05253 (2024) - [i44]Serena Nicolazzo, Antonino Nocera, Witold Pedrycz:
Service Level Agreements and Security SLA: A Comprehensive Survey. CoRR abs/2405.00009 (2024) - [i43]Da Fu, Mingfei Rong, Eun-Hu Kim, Hao Huang, Witold Pedrycz:
DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects. CoRR abs/2405.04093 (2024) - [i42]Zihang Jia, Zhen Zhang, Witold Pedrycz:
Generation of Granular-Balls for Clustering Based on the Principle of Justifiable Granularity. CoRR abs/2405.06904 (2024) - [i41]Jia Wei, Xingjun Zhang, Witold Pedrycz, Longxiang Wang, Jie Zhao:
Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD. CoRR abs/2407.00005 (2024) - [i40]Jie Yang, Lingyun Xiaodiao, Guoyin Wang, Witold Pedrycz, Shuyin Xia, Qinghua Zhang, Di Wu:
A robust three-way classifier with shadowed granular-balls based on justifiable granularity. CoRR abs/2407.11027 (2024) - [i39]Yingying Ren, Qiuli Li, Yangyang Guo, Witold Pedrycz, Lining Xing, Anfeng Liu, Yanjie Song:
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode. CoRR abs/2408.16300 (2024) - [i38]Zhuolin Li, Zhen Zhang, Witold Pedrycz:
An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting. CoRR abs/2409.02760 (2024) - [i37]Yi Liu, Xiaoan Tang, Witold Pedrycz, Qiang Zhang:
Cost-Effective Community-Hierarchy-Based Mutual Voting Approach for Influence Maximization in Complex Networks. CoRR abs/2409.14034 (2024) - 2023
- [b12]Mehdi Soltanifar, Hamid Sharafi, Farhad Hosseinzadeh Lotfi, Witold Pedrycz, Tofigh Allahviranloo:
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis. Springer 2023, ISBN 978-3-031-30402-6, pp. 1-185 - [b11]Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Witold Pedrycz, Mohammadreza Shahriari, Hamid Sharafi, Somayeh Razipour-GhalehJough:
Fuzzy Decision Analysis: Multi Attribute Decision Making Approach. Studies in Computational Intelligence 1121, Springer 2023, ISBN 978-3-031-44741-9, pp. 1-344 - [j1233]Merab Gogichaty, Vladimir Ivanov, Artem V. Kruglov
A Systemic Approach to Evaluating the Organizational Agility in Large-Scale Companies. IEEE Access 11: 3307-3323 (2023) - [j1232]Yegor Bugayenko
Qualitative Clustering of Software Repositories Based on Software Metrics. IEEE Access 11: 14716-14727 (2023) - [j1231]Hang Yang
Improved Differential Privacy Noise Mechanism in Quantum Machine Learning. IEEE Access 11: 50157-50164 (2023) - [j1230]Yegor Bugayenko
Automatically Prioritizing Tasks in Software Development. IEEE Access 11: 90322-90334 (2023) - [j1229]Pawel Karczmarek
Quadrature-Inspired Generalized Choquet Integral in an Application to Classification Problems. IEEE Access 11: 124676-124689 (2023) - [j1228]Phu Pham, Loan T. T. Nguyen, Witold Pedrycz, Bay Vo
Deep learning, graph-based text representation and classification: a survey, perspectives and challenges. Artif. Intell. Rev. 56(6): 4893-4927 (2023) - [j1227]Jiang Deng, Jianming Zhan
A novel prospect-theory-based three-way decision methodology in multi-scale information systems. Artif. Intell. Rev. 56(7): 6591-6625 (2023) - [j1226]Pei Wang, Qinli Zhang, Witold Pedrycz, Zhaowen Li, Ching-Feng Wen:
Uncertainty measurement of partially labeled categorical data with application to semi-supervised attribute reduction. Artif. Intell. Rev. 56(12): 14731-14764 (2023) - [j1225]Jindong Qin
ORESTE-SORT: a novel multiple criteria sorting method for sorting port group competitiveness. Ann. Oper. Res. 325(2): 875-909 (2023) - [j1224]Yanjun Zhou, Huorong Ren, Dan Zhao, Zhi Wu Li, Witold Pedrycz:
A novel multi-level framework for anomaly detection in time series data. Appl. Intell. 53(9): 10009-10026 (2023) - [j1223]Jianming Zhan
A novel group decision-making approach in multi-scale environments. Appl. Intell. 53(12): 15127-15146 (2023) - [j1222]Xiuyu Huang
Center transfer for supervised domain adaptation. Appl. Intell. 53(15): 18277-18293 (2023) - [j1221]Yueqi Chen, Witold Pedrycz, Jie Yang
A new boundary-degree-based oversampling method for imbalanced data. Appl. Intell. 53(22): 26518-26541 (2023) - [j1220]Xiaoyu Han, Xiubin Zhu, Witold Pedrycz, Zhiwu Li
A three-way classification with fuzzy decision trees. Appl. Soft Comput. 132: 109788 (2023) - [j1219]Yan Li, Xingchen Hu, Witold Pedrycz, Fangjie Yang, Zhong Liu:
Multivariable fuzzy rule-based models and their granular generalization: A visual interpretable framework. Appl. Soft Comput. 134: 109958 (2023) - [j1218]Xueyan Xu, Fusheng Yu
Multi-source fuzzy comprehensive evaluation. Appl. Soft Comput. 135: 110042 (2023) - [j1217]Sarah Qahtan
Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model. Appl. Soft Comput. 138: 110170 (2023) - [j1216]Xiyang Yang, Fusheng Yu
Clustering time series under trend-oriented fuzzy information granulation. Appl. Soft Comput. 141: 110284 (2023) - [j1215]Dan Wang, Xiubin Zhu
Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models. Appl. Soft Comput. 144: 110482 (2023) - [j1214]Chao Zhang
A regret theory-based multi-granularity three-way decision model with incomplete T-spherical fuzzy information and its application in forest fire management. Appl. Soft Comput. 145: 110539 (2023) - [j1213]Imran Ali
Granular Computing Approach to Evaluate Spatio-Temporal Events in Intuitionistic Fuzzy Sets Data through Formal Concept Analysis. Axioms 12(5): 407 (2023) - [j1212]Yadi Wang, Hongyun Zhang
Multi-granularity re-ranking for visible-infrared person re-identification. CAAI Trans. Intell. Technol. 8(3): 770-779 (2023) - [j1211]Jian-Peng Chang, Zhen-Song Chen, Xian-Jia Wang, Luis Martínez-López, Witold Pedrycz, Miroslaw J. Skibniewski:
Requirement-driven sustainable supplier selection: Creating an integrated perspective with stakeholders' interests and the wisdom of expert crowds. Comput. Ind. Eng. 175: 108903 (2023) - [j1210]Yingying Liang
Minimum cost consensus model with altruistic preference. Comput. Ind. Eng. 179: 109229 (2023) - [j1209]Zhen Shu, Aijuan Song, Guohua Wu, Witold Pedrycz:
Variable Reduction Strategy Integrated Variable Neighborhood Search and NSGA-II Hybrid Algorithm for Emergency Material Scheduling. Complex Syst. Model. Simul. 3(2): 83-101 (2023) - [j1208]Dragan Pamucar
Evaluation of metaverse integration alternatives of sharing economy in transportation using fuzzy Schweizer-Sklar based ordinal priority approach. Decis. Support Syst. 171: 113944 (2023) - [j1207]Kun Zhou
Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function. Eng. Appl. Artif. Intell. 117(Part): 105580 (2023) - [j1206]Rui Wang, Zhen-Song Chen
Revisiting the consistency improvement and consensus reaching processes of intuitionistic multiplicative preference relations. Eng. Appl. Artif. Intell. 120: 105931 (2023) - [j1205]Yi-Jian Wang, Gai-Ge Wang
Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II. Eng. Appl. Artif. Intell. 121: 105977 (2023) - [j1204]Quang-Thinh Bui, My-Phuong Ngo, Václav Snásel, Witold Pedrycz, Bay Vo
Information measures based on similarity under neutrosophic fuzzy environment and multi-criteria decision problems. Eng. Appl. Artif. Intell. 122: 106026 (2023) - [j1203]Fanyong Meng, Zaiwu Gong
Selfish-dilemma consensus analysis for group decision making in the perspective of cooperative game theory. Eur. J. Oper. Res. 308(1): 290-305 (2023) - [j1202]Sulan Zhang
A user-guided reduction concept lattice and its algebraic structure. Expert Syst. Appl. 217: 119537 (2023) - [j1201]Sang-Beom Park, Sung-Kwun Oh
Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy. Expert Syst. Appl. 219: 119655 (2023) - [j1200]Zu-Lin Liu, Fang Liu
Optimizing consistency and consensus in group decision making based on relative projection between multiplicative reciprocal matrices. Expert Syst. Appl. 224: 119948 (2023) - [j1199]Fei Yan
Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms. Expert Syst. Appl. 227: 120282 (2023) - [j1198]Paolo Ciancarini
How social interactions can affect Modern Code Review. Frontiers Comput. Sci. 5 (2023) - [j1197]Yingxu Wang, Bernard Widrow, C. A. R. Hoare, Witold Pedrycz, Robert C. Berwick, Konstantinos N. Plataniotis, Imre J. Rudas, Jianhua Lu, Janusz Kacprzyk:
The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics. Frontiers Comput. Sci. 5 (2023) - [j1196]Zhen Wang
Design of progressive fuzzy polynomial neural networks through gated recurrent unit structure and correlation/probabilistic selection strategies. Fuzzy Sets Syst. 470: 108656 (2023) - [j1195]Sha Qiao
Approximate bisimulations for fuzzy-transition systems. Fuzzy Sets Syst. 472: 108533 (2023) - [j1194]Muhammad Akram, Ghulam Muhammad, Tofigh Allahviranloo
Incommensurate non-homogeneous system of fuzzy linear fractional differential equations using the fuzzy bunch of real functions. Fuzzy Sets Syst. 473: 108725 (2023) - [j1193]Jie Yang, Zhenhao Jiang, Tingting Pan, Yueqi Chen, Witold Pedrycz:
Oversampling method based on GAN for tabular binary classification problems. Intell. Data Anal. 27(5): 1287-1308 (2023) - [j1192]Muhammad Gulistan, Witold Pedrycz:
Cubic q-Fractional Fuzzy Sets and Their Applications. Int. J. Fuzzy Syst. 25(6): 2326-2337 (2023) - [j1191]Si-Hai Feng, Yao-Jiao Xin, Sheng-Hua Xiong, Zhen-Song Chen
Safety Perception Evaluation of Civil Aviation Based on Weibo Posts in China: An Enhanced Large-Scale Group Decision-Making Framework. Int. J. Fuzzy Syst. 25(8): 3233-3259 (2023) - [j1190]Mingli Song, Yan Li, Witold Pedrycz:
Time series prediction with granular neural networks. Neurocomputing 546: 126328 (2023) - [j1189]Changming Zhu
Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data. Neurocomputing 557: 126729 (2023) - [j1188]Xiaoyu Ma
A linguistic information granulation model based on best-worst method in decision making problems. Inf. Fusion 89: 210-227 (2023) - [j1187]Yuzhu Wu
Minimum information-loss transformations to support heterogeneous group decision making in a distributed linguistic context. Inf. Fusion 89: 437-451 (2023) - [j1186]Hui Han, Xuyang Jing, Zheng Yan
ExtendedSketch+: Super host identification and network host trust evaluation with memory efficiency and high accuracy. Inf. Fusion 92: 300-312 (2023) - [j1185]Zhen-Song Chen
Large-group failure mode and effects analysis for risk management of angle grinders in the construction industry. Inf. Fusion 97: 101803 (2023) - [j1184]Jindong Qin
An overview of granular computing in decision-making: Extensions, applications, and challenges. Inf. Fusion 98: 101833 (2023) - [j1183]Xianfeng Huang
Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems. Inf. Fusion 99: 101860 (2023) - [j1182]Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin
FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation. Inf. Fusion 99: 101880 (2023) - [j1181]Lu Chen
Conflict analysis based on a novel three-way decisions graph model for conflict resolution method under hesitant fuzzy environment. Inf. Fusion 100: 101936 (2023) - [j1180]Sheng-Hua Xiong, Yao-Jiao Xin
Two improved N-two-stage K-means clustering aggregation algorithmic paradigms for HFLTS possibility distributions. Inf. Fusion 100: 101964 (2023) - [j1179]Ling Li, Shengxue Jiao, Yinghua Shen, Bingsheng Liu, Witold Pedrycz, Yuan Chen, Xiaoan Tang:
A two-stage consensus model for large-scale group decision-making considering dynamic social networks. Inf. Fusion 100: 101972 (2023) - [j1178]Anhui Tan, Xiaowan Ji, Jiye Liang
Corrigendum to "Weak multi-label learning with missing labels via instance granular discrimination" [Inform. Sci. 594 (2022) 200-216]. Inf. Sci. 619: 1 (2023) - [j1177]Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz:
MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT. Inf. Sci. 623: 20-39 (2023) - [j1176]Jiancheng Tu
Priority ranking for the best-worst method. Inf. Sci. 635: 42-55 (2023) - [j1175]Yuanfeng Huang
Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace. J. Adv. Comput. Intell. Intell. Informatics 27(4): 585-593 (2023) - [j1174]Zofia Dlugosz, Michal Rajewski, Rafal Dlugosz, Tomasz Talaska
A new deterministic PSO algorithm for real-time systems implemented on low-power devices. J. Comput. Appl. Math. 429: 115225 (2023) - [j1173]Imran Ali, Yongming Li, Witold Pedrycz:
Granular computing approach for the ordinal semantic weighted multiscale values for the attributes in formal concept analysis algorithm. J. Intell. Fuzzy Syst. 45(1): 1567-1586 (2023) - [j1172]Muhammad Gulistan, Witold Pedrycz, Naveed Yaqoob
Switching perspectives: Investigating the relationships and applications of q-fractional fuzzy sets with other fuzzy set classes in decision making. J. Intell. Fuzzy Syst. 45(6): 11695-11706 (2023) - [j1171]Yejun Xu
Verifying and managing additive consistency and deriving weights for hesitant fuzzy preference relations. J. Oper. Res. Soc. 74(6): 1462-1474 (2023) - [j1170]Yingying Liang
Minimum cost consensus model with loss aversion based large-scale group decision making. J. Oper. Res. Soc. 74(7): 1712-1729 (2023) - [j1169]Kecan Cai, Hongyun Zhang
SSS-Net: A shadowed-sets-based semi-supervised sample selection network for classification on noise labeled images. Knowl. Based Syst. 276: 110732 (2023) - [j1168]Jianjun Zhang, Ting Wang
Perturbation-based oversampling technique for imbalanced classification problems. Int. J. Mach. Learn. Cybern. 14(3): 773-787 (2023) - [j1167]Weiping Ding, Zhihao Feng, Javier Andreu-Perez
Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering. Neural Process. Lett. 55(3): 2023-2047 (2023) - [j1166]Fuyuan Xiao
Negation of the Quantum Mass Function for Multisource Quantum Information Fusion With its Application to Pattern Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2054-2070 (2023) - [j1165]Yiming Tang
Knowledge-Induced Multiple Kernel Fuzzy Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14838-14855 (2023) - [j1164]Hongyun Zhang, Miao Li, Duoqian Miao, Witold Pedrycz, Zhaoguo Wang, Minghui Jiang:
Construction of a feature enhancement network for small object detection. Pattern Recognit. 143: 109801 (2023) - [j1163]Jinbo Li
A Hidden Markov Model-based fuzzy modeling of multivariate time series. Soft Comput. 27(2): 837-854 (2023) - [j1162]Sang-Beom Park, Sung-Kwun Oh
Feature data-driven-reinforced fuzzy radial basis function neural network classifier with the aid of preprocessing techniques and particle swarm optimization. Soft Comput. 27(21): 15443-15462 (2023) - [j1161]Binjie Xu
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones. Swarm Evol. Comput. 77: 101246 (2023) - [j1160]Zhenzhen Hu, Wenyin Gong
Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization. Swarm Evol. Comput. 83: 101387 (2023) - [j1159]Guohua Wu
Coordinated Scheduling of Air and Space Observation Resources via Divide-and-Conquer Framework and Iterative Optimization. IEEE Trans. Aerosp. Electron. Syst. 59(4): 3631-3642 (2023) - [j1158]Peng Han, Yanning Guo, Pengyu Wang, Chuanjiang Li, Witold Pedrycz:
Optimal Orbit Design and Mission Scheduling for Sun-Synchronous Orbit On-Orbit Refueling System. IEEE Trans. Aerosp. Electron. Syst. 59(5): 4968-4983 (2023) - [j1157]Yanjie Song
Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling. IEEE Trans. Aerosp. Electron. Syst. 59(6): 9010-9025 (2023) - [j1156]Tianyu Wang
A Dynamic Scheduling Framework for Byproduct Gas System Combining Expert Knowledge and Production Plan. IEEE Trans Autom. Sci. Eng. 20(1): 541-552 (2023) - [j1155]Yan Fang
CircularE: A Complex Space Circular Correlation Relational Model for Link Prediction in Knowledge Graph Embedding. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3162-3175 (2023) - [j1154]Fang Liu
Measuring Weak Consistency and Weak Transitivity of Pairwise Comparison Matrices. IEEE Trans. Cybern. 53(1): 303-314 (2023) - [j1153]Xiubin Zhu
A Design of Granular Classifier Based on Granular Data Descriptors. IEEE Trans. Cybern. 53(3): 1790-1801 (2023) - [j1152]Peide Liu
A Multiattribute Group Decision-Making Method With Probabilistic Linguistic Information Based on an Adaptive Consensus Reaching Model and Evidential Reasoning. IEEE Trans. Cybern. 53(3): 1905-1919 (2023) - [j1151]Wei Lu
Design of Granular Model: A Method Driven by Hyper-Box Iteration Granulation. IEEE Trans. Cybern. 53(5): 2899-2913 (2023) - [j1150]Jun Wan
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. IEEE Trans. Cybern. 53(6): 3546-3560 (2023) - [j1149]Fanyong Meng
Consensus Reaching Process for Traditional Group Decision Making in View of the Optimal Adjustment Mechanism. IEEE Trans. Cybern. 53(6): 3748-3759 (2023) - [j1148]Yangjingjing Zhang
Consensus Reaching Based on Social Influence Evolution in Group Decision Making. IEEE Trans. Cybern. 53(7): 4134-4147 (2023) - [j1147]Di Jin
Amer: A New Attribute-Missing Network Embedding Approach. IEEE Trans. Cybern. 53(7): 4306-4319 (2023) - [j1146]Yihan Wang
Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting. IEEE Trans. Cybern. 53(7): 4665-4676 (2023) - [j1145]Yiming Tang
A Fuzzy Clustering Validity Index Induced by Triple Center Relation. IEEE Trans. Cybern. 53(8): 5024-5036 (2023) - [j1144]Witold Pedrycz
Computing and Clustering in the Environment of Order-2 Information Granules. IEEE Trans. Cybern. 53(9): 5414-5423 (2023) - [j1143]Phu Pham
An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems. IEEE Trans. Cybern. 53(9): 6027-6040 (2023) - [j1142]Zonglin Yang
Linear Fuzzy Information-Granule-Based Fuzzy C-Means Algorithm for Clustering Time Series. IEEE Trans. Cybern. 53(12): 7622-7634 (2023) - [j1141]Taewoong Ryu, Hyeonho Kim, Chanhee Lee, Heonmo Kim, Bay Vo
Scalable and Efficient Approach for High Temporal Fuzzy Utility Pattern Mining. IEEE Trans. Cybern. 53(12): 7672-7685 (2023) - [j1140]Aijuan Song
Automatic Variable Reduction. IEEE Trans. Evol. Comput. 27(4): 1027-1041 (2023) - [j1139]Xiubin Zhu
Transfer Learning Realized With Nonlinearly Transformed Input Space. IEEE Trans. Emerg. Top. Comput. 11(2): 448-460 (2023) - [j1138]Yiming Tang
Viewpoint-Based Kernel Fuzzy Clustering With Weight Information Granules. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 342-356 (2023) - [j1137]Jian-Peng Chang
Assessing Spatial Synergy Between Integrated Urban Rail Transit System and Urban Form: A BULI-Based MCLSGA Model With the Wisdom of Crowds. IEEE Trans. Fuzzy Syst. 31(2): 434-448 (2023) - [j1136]Pawel Karczmarek
Choquet Integral-Based Aggregation for the Analysis of Anomalies Occurrence in Sustainable Transportation Systems. IEEE Trans. Fuzzy Syst. 31(2): 536-546 (2023) - [j1135]Kun Zhou
Reinforced Two-Stream Fuzzy Neural Networks Architecture Realized With the Aid of One-Dimensional/Two-Dimensional Data Features. IEEE Trans. Fuzzy Syst. 31(3): 707-721 (2023) - [j1134]Xianghui Hu
Fuzzy Clustering With Knowledge Extraction and Granulation. IEEE Trans. Fuzzy Syst. 31(4): 1098-1112 (2023) - [j1133]Witold Pedrycz
Granular Data Compression and Representation. IEEE Trans. Fuzzy Syst. 31(5): 1497-1505 (2023) - [j1132]Xiubin Zhu
Fuzzy Rule-Based Local Surrogate Models for Black-Box Model Explanation. IEEE Trans. Fuzzy Syst. 31(6): 2056-2064 (2023) - [j1131]Wentao Li
Feature Selection Approach Based on Improved Fuzzy C-Means With Principle of Refined Justifiable Granularity. IEEE Trans. Fuzzy Syst. 31(7): 2112-2126 (2023) - [j1130]Fanyong Meng
Consistency and Consensus Analysis for Group Decision Making With Fuzzy Preference Relations Based on Cooperative Game Theory. IEEE Trans. Fuzzy Syst. 31(7): 2140-2152 (2023) - [j1129]Hanyu E
Design of Distributed Rule-Based Models in the Presence of Large Data. IEEE Trans. Fuzzy Syst. 31(7): 2479-2486 (2023) - [j1128]Witold Pedrycz
A Design of Fuzzy Rule-Based Models With Data Privacy. IEEE Trans. Fuzzy Syst. 31(8): 2885-2890 (2023) - [j1127]Ting Huang
An Automatic Consensus Reaching Approach With Preference Adjustment Willingness for Group Decision-Making. IEEE Trans. Fuzzy Syst. 31(10): 3331-3345 (2023) - [j1126]Yue Cheng
NFIG-X: Nonlinear Fuzzy Information Granule Series for Long-Term Traffic Flow Time-Series Forecasting. IEEE Trans. Fuzzy Syst. 31(10): 3582-3597 (2023) - [j1125]Fang Liu
Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. IEEE Trans. Fuzzy Syst. 31(12): 4235-4248 (2023) - [j1124]Qianli Zhou
Information Granule Based Uncertainty Measure of Fuzzy Evidential Distribution. IEEE Trans. Fuzzy Syst. 31(12): 4385-4396 (2023) - [j1123]Luefeng Chen
K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human-Robot Interaction. IEEE Trans. Ind. Electron. 70(1): 1016-1024 (2023) - [j1122]Fangyu Hong
Logistics in the Sky: A Two-Phase Optimization Approach for the Drone Package Pickup and Delivery System. IEEE Trans. Intell. Transp. Syst. 24(9): 9175-9190 (2023) - [j1121]Huan Liu
Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment. IEEE Trans. Intell. Transp. Syst. 24(11): 12062-12077 (2023) - [j1120]Muhammet Deveci
Autonomous Bus Operation Alternatives in Urban Areas Using Fuzzy Dombi-Bonferroni Operator Based Decision Making Model. IEEE Trans. Intell. Transp. Syst. 24(12): 15714-15723 (2023) - [j1119]Jie Zhou
Low-Rank Linear Embedding for Robust Clustering. IEEE Trans. Knowl. Data Eng. 35(5): 5060-5075 (2023) - [j1118]Fuyuan Xiao
Generalized Divergence-Based Decision Making Method With an Application to Pattern Classification. IEEE Trans. Knowl. Data Eng. 35(7): 6941-6956 (2023) - [j1117]Xingchen Hu
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules. IEEE Trans. Knowl. Data Eng. 35(11): 11642-11655 (2023) - [j1116]Dong Li
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. IEEE Trans. Knowl. Data Eng. 35(12): 12337-12349 (2023) - [j1115]Wentao Li
Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6898-6912 (2023) - [j1114]Jianjun Zhang
KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9520-9527 (2023) - [j1113]Guangquan Huang
Failure Mode and Effect Analysis Using T-Spherical Fuzzy Maximizing Deviation and Combined Comparison Solution Methods. IEEE Trans. Reliab. 72(2): 552-573 (2023) - [j1112]Huy Minh Huynh
An Approach for Incremental Mining of Clickstream Patterns as a Service Application. IEEE Trans. Serv. Comput. 16(6): 3892-3905 (2023) - [j1111]Xiubin Zhu
Design and Development of Granular Fuzzy Rule-Based Models for Knowledge Transfer. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 704-715 (2023) - [j1110]Bowen Zhang
Consensus Model Driven by Interpretable Rules in Large-Scale Group Decision Making With Optimal Allocation of Information Granularity. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1233-1245 (2023) - [j1109]Yangjingjing Zhang
Minimum Cost Consensus With Altruism Utility Constraints in Social Network Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 5032-5045 (2023) - [j1108]Jindong Qin
A Granular Computing-Driven Best-Worst Method for Supporting Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5591-5603 (2023) - [j1107]Jiaxing Li, Guohua Wu
Task Scheduling Under a Novel Framework for Data Relay Satellite Network via Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 72(5): 6654-6668 (2023) - [c283]Pawel Karczmarek, Michal Dolecki, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski:
Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Anomaly Detection. FUZZ 2023: 1-8 - [c282]Youpeng Yang, Sanghyuk Lee, Hao Lan Zhang
A Novel Preference Scale Function Based on Poincaré Metric for Decision-Making. ICMLC 2023: 37-42 - [c281]Haiyang Wei, Luefeng Chen, Jie Hu, Yi Ren, Min Wu, Witold Pedrycz, Kaoru Hirota:
Short - Term Prediction of Coke Pushing Current Peak Based on Improved ARIMA Model. ICPS 2023: 1-6 - [e45]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13588, Springer 2023, ISBN 978-3-031-23491-0 [contents] - [e44]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13589, Springer 2023, ISBN 978-3-031-23479-8 [contents] - [e43]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14125, Springer 2023, ISBN 978-3-031-42504-2 [contents] - [e42]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14126, Springer 2023, ISBN 978-3-031-42507-3 [contents] - [e41]Guihai Chen, Latifur Khan, Xiaofeng Gao, Meikang Qiu, Witold Pedrycz, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0788-7 [contents] - [e40]Jihe Wang, Yi He, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz:
IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. IEEE 2023, ISBN 979-8-3503-8164-1 [contents] - [i36]Waldemar W. Koczkodaj, M. Mazurek, Witold Pedrycz, E. Rogalska, R. Roth, Dominik Strzalka, A. Szymanska, Alicja Wolny-Dominiak, Marc Woodbury-Smith, O. S. Xue, R. Zbyrowski
Combating harmful Internet use with peer assessment and differential evolution. CoRR abs/2301.10232 (2023) - [i35]Dong Li, Shuisheng Zhou
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. CoRR abs/2302.07060 (2023) - [i34]Yanjie Song, Ponnuthurai N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen:
Ensemble Reinforcement Learning: A Survey. CoRR abs/2303.02618 (2023) - [i33]Yangyang Guo, Hao Wang, Lei He, Witold Pedrycz, Ponnuthurai N. Suganthan, Yanjie Song:
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching. CoRR abs/2304.04022 (2023) - [i32]Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz:
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks. CoRR abs/2306.07303 (2023) - [i31]Jie Wang, Zheng Yan, Jiahe Lan, Elisa Bertino, Witold Pedrycz:
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support. CoRR abs/2306.13339 (2023) - [i30]Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities. CoRR abs/2308.13420 (2023) - 2022
- [j1106]Zheng Wang
Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization. IEEE Access 10: 7772-7792 (2022) - [j1105]Kun Zhou
Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy. Adv. Eng. Informatics 53: 101695 (2022) - [j1104]Jinbo Li
Time Series Reconstruction and Classification: A Comprehensive Comparative Study. Appl. Intell. 52(9): 10082-10097 (2022) - [j1103]Tailong Jing
Granular models as networks of associations of information granules: A development scheme via augmented principle of justifiable granularity. Appl. Soft Comput. 115: 108062 (2022) - [j1102]Farzeen Munir
Exploring thermal images for object detection in underexposure regions for autonomous driving. Appl. Soft Comput. 121: 108793 (2022) - [j1101]Jiajia Wang
A three-way decision method with prospect theory to multi-attribute decision-making and its applications under hesitant fuzzy environments. Appl. Soft Comput. 126: 109283 (2022) - [j1100]Qiang Yang
Large-scale group decision-making for prioritizing engineering characteristics in quality function deployment under comparative linguistic environment. Appl. Soft Comput. 127: 109359 (2022) - [j1099]Mohammad Mehedi Hassan, Md. Rafiul Hassan, Victor Hugo C. de Albuquerque, Witold Pedrycz:
Soft Computing for Intelligent Edge Computing. Appl. Soft Comput. 128: 109628 (2022) - [j1098]Zhen-Song Chen
BIM-aided large-scale group decision support: Optimization of the retrofit strategy for existing buildings. Appl. Soft Comput. 131: 109790 (2022) - [j1097]Peide Liu, Ayad Hendalianpour
Mathematical modeling of Vehicle Routing Problem in Omni-Channel retailing. Appl. Soft Comput. 131: 109791 (2022) - [j1096]Ge Zhang, Xiubin Zhu, Li Yin, Witold Pedrycz, Zhiwu Li:
Granular data representation under privacy protection: Tradeoff between data utility and privacy via information granularity. Appl. Soft Comput. 131: 109808 (2022) - [j1095]Muhammad Akram, Ghulam Muhammad, Tofigh Allahviranloo
Solution of initial-value problem for linear third-order fuzzy differential equations. Comput. Appl. Math. 41(8) (2022) - [j1094]Dixizi Liu
Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread. Comput. Ind. Eng. 166: 107970 (2022) - [j1093]Feifei Jin, Yuhang Cai, Witold Pedrycz, Jinpei Liu:
Efficiency evaluation with regret-rejoice cross-efficiency DEA models under the distributed linguistic environment. Comput. Ind. Eng. 169: 108281 (2022) - [j1092]Jie Wang
A Survey on Trust Models in Heterogeneous Networks. IEEE Commun. Surv. Tutorials 24(4): 2127-2162 (2022) - [j1091]Dawei Xie
Information Quality for Intuitionistic Fuzzy Values with Its Application in Decision Making. Eng. Appl. Artif. Intell. 109: 104568 (2022) - [j1090]Yanjun Zhou, Huorong Ren, Zhiwu Li, Witold Pedrycz:
Anomaly detection based on a granular Markov model. Expert Syst. Appl. 187: 115744 (2022) - [j1089]Yangjingjing Zhang, Xia Chen
Consensus reaching with trust evolution in social network group decision making. Expert Syst. Appl. 188: 116022 (2022) - [j1088]Shengdan Hu, Duoqian Miao, Witold Pedrycz:
Multi granularity based label propagation with active learning for semi-supervised classification. Expert Syst. Appl. 192: 116276 (2022) - [j1087]Sha Fan, Haiming Liang, Yucheng Dong, Witold Pedrycz:
A personalized individual semantics-based multi-attribute group decision making approach with flexible linguistic expression. Expert Syst. Appl. 192: 116392 (2022) - [j1086]Degang Wang, Hao Liu, Witold Pedrycz, Wenyan Song, Hongxing Li:
Design Gaussian information granule based on the principle of justifiable granularity: A multi-dimensional perspective. Expert Syst. Appl. 197: 116763 (2022) - [j1085]Cheng Yang, Sung-Kwun Oh, Bo Yang, Witold Pedrycz, Lin Wang:
Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications. Expert Syst. Appl. 202: 117392 (2022) - [j1084]Phu Pham, Witold Pedrycz, Bay Vo:
Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam. Expert Syst. Appl. 203: 117514 (2022) - [j1083]Anisha Khaitan, Mukesh Kumar Mehlawat, Pankaj Gupta, Witold Pedrycz:
Socially aware fuzzy vehicle routing problem: A topic modeling based approach for driver well-being. Expert Syst. Appl. 205: 117655 (2022) - [j1082]Hanyu E
Design of fuzzy rule-based models with fuzzy relational factorization. Expert Syst. Appl. 206: 117904 (2022) - [j1081]Wei Wei, Vincenzo Piuri, Witold Pedrycz, Syed Hassan Ahmed
Special Issue on Artificial Intelligence-of-Things (AIoT): Opportunities, Challenges, and Solutions-Part II: Artificial-Intelligence-Powered Internet of Things. Future Gener. Comput. Syst. 137: 186-188 (2022) - [j1080]Wei Wei, Vincenzo Piuri, Witold Pedrycz, Syed Hassan Ahmed
Special Issue on Artificial Intelligence-of-Things (AIoT): Opportunities, Challenges, and Solutions-Part I: Artificial Intelligence Applications in Various Fields. Future Gener. Comput. Syst. 137: 216-218 (2022) - [j1079]Mojtaba Ghanbari, Tofigh Allahviranloo
A straightforward approach for solving dual fuzzy linear systems. Fuzzy Sets Syst. 435: 89-106 (2022) - [j1078]Cheng Yang, Zheng Wang
Ensemble fuzzy radial basis function neural networks architecture driven with the aid of multi-optimization through clustering techniques and polynomial-based learning. Fuzzy Sets Syst. 438: 62-83 (2022) - [j1077]Kaijie Xu
Granular computing: An augmented scheme of degranulation through a modified partition matrix. Fuzzy Sets Syst. 440: 131-148 (2022) - [j1076]Hao Huang
Double iterative learning-based polynomial based-RBFNNs driven by the aid of support vector-based kernel fuzzy clustering and least absolute shrinkage deviations. Fuzzy Sets Syst. 443(Part): 30-49 (2022) - [j1075]Congcong Zhang
Reinforced fuzzy clustering-based rule model constructed with the aid of exponentially weighted ℓ2 regularization strategy and augmented random vector functional link network. Fuzzy Sets Syst. 443(Part): 90-114 (2022) - [j1074]Aijuan Song, Guohua Wu
Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations Systems. IEEE CAA J. Autom. Sinica 9(1): 75-89 (2022) - [j1073]Bingjie Li, Guohua Wu
An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem. IEEE CAA J. Autom. Sinica 9(7): 1115-1138 (2022) - [j1072]Xianfeng Huang
An error correction prediction model based on three-way decision and ensemble learning. Int. J. Approx. Reason. 146: 21-46 (2022) - [j1071]Tianna Zhao, Yuanjian Zhang
Selective label enhancement for multi-label classification based on three-way decisions. Int. J. Approx. Reason. 150: 172-187 (2022) - [j1070]Rafael Alejandro Espín Andrade
Archimedean Compensatory Fuzzy Logic as a Pluralist Contextual Theory Useful for Knowledge Discovery. Int. J. Fuzzy Syst. 24(1): 474-494 (2022) - [j1069]Peide Liu, Mengjiao Shen, Witold Pedrycz:
MAGDM Framework Based on Double Hierarchy Bipolar Hesitant Fuzzy Linguistic Information and Its Application to Optimal Selection of Talents. Int. J. Fuzzy Syst. 24(4): 1757-1779 (2022) - [j1068]Quang-Thinh Bui, My-Phuong Ngo
The Sequence of Neutrosophic Soft Sets and a Decision-Making Problem in Medical Diagnosis. Int. J. Fuzzy Syst. 24(4): 2036-2053 (2022) - [j1067]Taewoong Ryu, Unil Yun, Chanhee Lee, Jerry Chun-Wei Lin
Occupancy-based utility pattern mining in dynamic environments of intelligent systems. Int. J. Intell. Syst. 37(9): 5477-5507 (2022) - [j1066]Rami Al-Hmouz
A data variability index: Quantifying complexity of models and analyzing adversarial data. Int. J. Intell. Syst. 37(11): 8412-8435 (2022) - [j1065]Jianjun Zhang, Ting Wang
Ensembling perturbation-based oversamplers for imbalanced datasets. Neurocomputing 479: 1-11 (2022) - [j1064]Majed M. Alateeq
Development of two-phase logic-oriented fuzzy AND/OR network. Neurocomputing 482: 129-138 (2022) - [j1063]Hao Huang
Fuzzy clustering-based neural networks modelling reinforced with the aid of support vectors-based clustering and regularization technique. Neurocomputing 482: 139-153 (2022) - [j1062]Zheng Wang
Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization. Neurocomputing 486: 27-46 (2022) - [j1061]Fei Tang, Witold Pedrycz:
An improved DV-Hop algorithm based on differential simulated annealing evolution. Int. J. Sens. Networks 38(1): 1-11 (2022) - [j1060]Qiang Zhang, Ting Huang, Xiaoan Tang, Kaijie Xu
A Linguistic Information Granulation Model and Its Penalty Function-Based Co-Evolutionary PSO Solution Approach for Supporting GDM with Distributed Linguistic Preference Relations. Inf. Fusion 77: 118-132 (2022) - [j1059]Hui Han, Zheng Yan, Xuyang Jing, Witold Pedrycz:
Applications of sketches in network traffic measurement: A survey. Inf. Fusion 82: 58-85 (2022) - [j1058]Fang Liu
Two flexibility degrees-driven consensus model in group decision making with intuitionistic fuzzy preference relations. Inf. Fusion 88: 86-99 (2022) - [j1057]Anhui Tan, Xiaowan Ji, Jiye Liang
Weak multi-label learning with missing labels via instance granular discrimination. Inf. Sci. 594: 200-216 (2022) - [j1056]Guangquan Huang, Liming Xiao, Witold Pedrycz, Dragan Pamucar
Design alternative assessment and selection: A novel Z-cloud rough number-based BWM-MABAC model. Inf. Sci. 603: 149-189 (2022) - [j1055]Liming Xiao, Guangquan Huang
A q-rung orthopair fuzzy decision-making model with new score function and best-worst method for manufacturer selection. Inf. Sci. 608: 153-177 (2022) - [j1054]Ting Huang, Xiaoan Tang, Shuangyao Zhao, Qiang Zhang, Witold Pedrycz:
Linguistic information-based granular computing based on a tournament selection operator-guided PSO for supporting multi-attribute group decision-making with distributed linguistic preference relations. Inf. Sci. 610: 488-507 (2022) - [j1053]Mohammed Atiquzzaman, Jin Li, Witold Pedrycz:
Special issue on new advanced techniques in security of artificial intelligence. J. Ambient Intell. Humaniz. Comput. 13(3): 1255-1257 (2022) - [j1052]Sui-Zhi Luo, Witold Pedrycz, Lining Xing:
Interactive multilevel programming approaches in neutrosophic environments. J. Ambient Intell. Humaniz. Comput. 13(4): 2143-2159 (2022) - [j1051]Hongyue Diao, Yifan Lu
Convolutional rule inference network based on belief rule-based system using an evidential reasoning approach. Knowl. Based Syst. 237: 107713 (2022) - [j1050]Rami Al-Hmouz
Fuzzy relational representation, modeling and interpretation of temporal data. Knowl. Based Syst. 244: 108548 (2022) - [j1049]Tingting Pan, Witold Pedrycz, Jie Yang
A new classifier for imbalanced data with iterative learning process and ensemble operating process. Knowl. Based Syst. 249: 108966 (2022) - [j1048]Huangke Chen, Xin Zhang, Ling Wang
Resource-constrained self-organized optimization for near-real-time offloading satellite earth observation big data. Knowl. Based Syst. 253: 109496 (2022) - [j1047]Yi Yang
Novel fusion strategies for continuous interval-valued q-rung orthopair fuzzy information: a case study in quality assessment of SmartWatch appearance design. Int. J. Mach. Learn. Cybern. 13(3): 609-632 (2022) - [j1046]Sui-Zhi Luo, Witold Pedrycz, Lining Xing:
Selection of data products: a hybrid AFSA-MABAC approach. Int. J. Mach. Learn. Cybern. 13(4): 1079-1097 (2022) - [j1045]Can Gao
Global structure-guided neighborhood preserving embedding for dimensionality reduction. Int. J. Mach. Learn. Cybern. 13(7): 2013-2032 (2022) - [j1044]Lei Yu, Zhi Zeng, Huiqi Wang
Fractional-order differentiation based sparse representation for multi-focus image fusion. Multim. Tools Appl. 81(3): 4387-4411 (2022) - [j1043]Changming Zhu, Shuaiping Guo, Dujuan Cao, YiTing Zhou, Duoqian Miao, Witold Pedrycz
Multi-view multi-label-based online method with threefold correlations and dynamic updating multi-region. Neural Comput. Appl. 34(8): 6097-6117 (2022) - [j1042]Nematallah Najafi, Tofigh Allahviranloo
Solving Fractional Fuzzy Impulsive Differential Equations with Uncertainty by Novel Computational Technique. New Math. Nat. Comput. 18(2): 251-291 (2022) - [j1041]Fang Liu
Measuring consistency of interval-valued preference relations: comments and comparison. Oper. Res. 22(1): 371-399 (2022) - [j1040]Fang Liu
Correction to: Measuring consistency of interval-valued preference relations: comments and comparison. Oper. Res. 22(2): 1635-1637 (2022) - [j1039]Shengmin Zhao
Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks. Pattern Recognit. 132: 108983 (2022) - [j1038]Marzena Banach
Air Pollution Monitoring System with Prediction Abilities Based on Smart Autonomous Sensors Equipped with ANNs with Novel Training Scheme. Remote. Sens. 14(2): 413 (2022) - [j1037]Mojtaba Ghanbari, Tofigh Allahviranloo
A new effective approximate multiplication operation on LR fuzzy numbers and its application. Soft Comput. 26(9): 4103-4113 (2022) - [j1036]Mingli Song
A comprehensive study on effect of multi-subgroup background in group decision-making. Soft Comput. 26(24): 13543-13566 (2022) - [j1035]Yu Zhou, Sheng Li, Witold Pedrycz, Guorui Feng
ACDB-EA: Adaptive convergence-diversity balanced evolutionary algorithm for many-objective optimization. Swarm Evol. Comput. 75: 101145 (2022) - [j1034]Guohua Wu
Flexible Task Scheduling in Data Relay Satellite Networks. IEEE Trans. Aerosp. Electron. Syst. 58(2): 1055-1068 (2022) - [j1033]Min Wu
Two-Stage Fuzzy Fusion Based-Convolution Neural Network for Dynamic Emotion Recognition. IEEE Trans. Affect. Comput. 13(2): 805-817 (2022) - [j1032]Anhui Tan
Granularity and Entropy of Intuitionistic Fuzzy Information and Their Applications. IEEE Trans. Cybern. 52(1): 192-204 (2022) - [j1031]Zhongyang Han
Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals. IEEE Trans. Cybern. 52(1): 666-676 (2022) - [j1030]Xiubin Zhu
A Two-Stage Approach for Constructing Type-2 Information Granules. IEEE Trans. Cybern. 52(4): 2214-2224 (2022) - [j1029]Leonardo Concepción
Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models. IEEE Trans. Cybern. 52(5): 2994-3005 (2022) - [j1028]Xuyang Jing, Zheng Yan
A Group-Based Distance Learning Method for Semisupervised Fuzzy Clustering. IEEE Trans. Cybern. 52(5): 3083-3096 (2022) - [j1027]Peng Nie
Optimization of Granulation-Degranulation Mechanism Through Neurocomputing. IEEE Trans. Cybern. 52(6): 4126-4135 (2022) - [j1026]Wenjuan Jia
Semisupervised Learning via Axiomatic Fuzzy Set Theory and SVM. IEEE Trans. Cybern. 52(6): 4661-4674 (2022) - [j1025]Jie Hu
Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process. IEEE Trans. Cybern. 52(6): 4751-4763 (2022) - [j1024]Yiming Tang
Oscillation-Bound Estimation of Perturbations Under Bandler-Kohout Subproduct. IEEE Trans. Cybern. 52(7): 6269-6282 (2022) - [j1023]Xingchen Hu, Yinghua Shen
Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering. IEEE Trans. Cybern. 52(7): 6406-6419 (2022) - [j1022]Xingchen Hu
Granular Fuzzy Rule-Based Modeling With Incomplete Data Representation. IEEE Trans. Cybern. 52(7): 6420-6433 (2022) - [j1021]Bowen Zhang
A Differential Evolution-Based Consistency Improvement Method in AHP With an Optimal Allocation of Information Granularity. IEEE Trans. Cybern. 52(7): 6733-6744 (2022) - [j1020]Xiubin Zhu
A Granular Approach to Interval Output Estimation for Rule-Based Fuzzy Models. IEEE Trans. Cybern. 52(7): 7029-7038 (2022) - [j1019]Cong Wang
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation. IEEE Trans. Cybern. 52(8): 7612-7623 (2022) - [j1018]Hongyue Guo
Trend-Based Granular Representation of Time Series and its Application in Clustering. IEEE Trans. Cybern. 52(9): 9101-9110 (2022) - [j1017]Sheng Du
Operating Performance Improvement Based on Prediction and Grade Assessment for Sintering Process. IEEE Trans. Cybern. 52(10): 10529-10541 (2022) - [j1016]Tao Zhan
Exponential Stability of Fractional-Order Switched Systems With Mode-Dependent Impulses and Its Application. IEEE Trans. Cybern. 52(11): 11516-11525 (2022) - [j1015]Liangliang Zhang
A Promotive Particle Swarm Optimizer With Double Hierarchical Structures. IEEE Trans. Cybern. 52(12): 13308-13322 (2022) - [j1014]Xuyang Jing, Hui Han, Zheng Yan
SuperSketch: A Multi-Dimensional Reversible Data Structure for Super Host Identification. IEEE Trans. Dependable Secur. Comput. 19(4): 2741-2754 (2022) - [j1013]Xuyang Jing, Zheng Yan
ExtendedSketch: Fusing Network Traffic for Super Host Identification With a Memory Efficient Sketch. IEEE Trans. Dependable Secur. Comput. 19(6): 3913-3924 (2022) - [j1012]Guohua Wu
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques. IEEE Trans. Evol. Comput. 26(4): 646-660 (2022) - [j1011]Yiming Tang
Granular Symmetric Implicational Method. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 710-723 (2022) - [j1010]Cuiping Cheng, Weiping Ding
A Majority Rule-Based Measure for Atanassov-Type Intuitionistic Membership Grades in MCDM. IEEE Trans. Fuzzy Syst. 30(1): 121-132 (2022) - [j1009]Rafik A. Aliev
Acquisition of Z-Number-Valued Clusters by Using a New Compound Function. IEEE Trans. Fuzzy Syst. 30(1): 279-286 (2022) - [j1008]Ning Wang, Witold Pedrycz
Disjunctive Fuzzy Neural Networks: A New Splitting-Based Approach to Designing a T-S Fuzzy Model. IEEE Trans. Fuzzy Syst. 30(2): 370-381 (2022) - [j1007]Zhiming Zhang
Analysis of Acceptably Multiplicative Consistency and Consensus for Incomplete Interval-Valued Intuitionistic Fuzzy Preference Relations. IEEE Trans. Fuzzy Syst. 30(2): 486-499 (2022) - [j1006]Lidong Wang
Top-Down Granulation Modeling Based on the Principle of Justifiable Granularity. IEEE Trans. Fuzzy Syst. 30(3): 701-713 (2022) - [j1005]Hongyue Guo
Hierarchical Axiomatic Fuzzy Set Granulation for Financial Time Series Clustering. IEEE Trans. Fuzzy Syst. 30(3): 755-766 (2022) - [j1004]Hanyu E
Fuzzy Relational Matrix Factorization and Its Granular Characterization in Data Description. IEEE Trans. Fuzzy Syst. 30(3): 794-804 (2022) - [j1003]Rami Al-Hmouz
Logic-Oriented Autoencoders and Granular Logic Autoencoders: Developing Interpretable Data Representation. IEEE Trans. Fuzzy Syst. 30(3): 869-877 (2022) - [j1002]Jie Zhou
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation. IEEE Trans. Fuzzy Syst. 30(4): 1073-1087 (2022) - [j1001]Weiping Ding
Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning. IEEE Trans. Fuzzy Syst. 30(4): 1088-1101 (2022) - [j1000]Yuqing Tang
Building Trend Fuzzy Granulation-Based LSTM Recurrent Neural Network for Long-Term Time-Series Forecasting. IEEE Trans. Fuzzy Syst. 30(6): 1599-1613 (2022) - [j999]Bozena Malysiak-Mrozek, Jadwiga Wieszok, Witold Pedrycz
High-Efficient Fuzzy Querying With HiveQL for Big Data Warehousing. IEEE Trans. Fuzzy Syst. 30(6): 1823-1837 (2022) - [j998]Sihai Zhao
Analysis of Ranking Consistency in Linguistic Multiple Attribute Decision Making: The Roles of Granularity and Decision Rules. IEEE Trans. Fuzzy Syst. 30(7): 2266-2278 (2022) - [j997]Fang Liu, Jie Yang
A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree. IEEE Trans. Fuzzy Syst. 30(7): 2665-2677 (2022) - [j996]Adam Kiersztyn
Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules. IEEE Trans. Fuzzy Syst. 30(8): 2850-2860 (2022) - [j995]Witold Pedrycz
A Hierarchical Approach to Interpretability of TS Rule-Based Models. IEEE Trans. Fuzzy Syst. 30(8): 2861-2869 (2022) - [j994]Fang Li, Yuqing Tang
Multilinear-Trend Fuzzy Information Granule-Based Short-Term Forecasting for Time Series. IEEE Trans. Fuzzy Syst. 30(8): 3360-3372 (2022) - [j993]Witold Pedrycz
Federated FCM: Clustering Under Privacy Requirements. IEEE Trans. Fuzzy Syst. 30(8): 3384-3388 (2022) - [j992]Xiubin Zhu
Horizontal Federated Learning of Takagi-Sugeno Fuzzy Rule-Based Models. IEEE Trans. Fuzzy Syst. 30(9): 3537-3547 (2022) - [j991]Sheng Du
Information Granulation With Rectangular Information Granules and Its Application in Time-Series Similarity Measurement. IEEE Trans. Fuzzy Syst. 30(10): 4069-4081 (2022) - [j990]Eun-Hu Kim
Design of Reinforced Fuzzy Model Driven to Feature Selection Through Univariable-Based Correlation and Multivariable-Based Determination Coefficient Analysis. IEEE Trans. Fuzzy Syst. 30(10): 4224-4238 (2022) - [j989]Seok-Beom Roh
Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation. IEEE Trans. Fuzzy Syst. 30(10): 4273-4285 (2022) - [j988]Qian Zhao
SMAA-Bicapacity-Choquet-Regret Model for Heterogeneous Linguistic MCDM With Interactive Criteria With Bipolar Scale and 2-Tuple Aspirations. IEEE Trans. Fuzzy Syst. 30(10): 4384-4398 (2022) - [j987]Stefania Tomasiello
On Fractional Tikhonov Regularization: Application to the Adaptive Network-Based Fuzzy Inference System for Regression Problems. IEEE Trans. Fuzzy Syst. 30(11): 4717-4727 (2022) - [j986]Yihan Wang
The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting. IEEE Trans. Fuzzy Syst. 30(12): 5166-5180 (2022) - [j985]Zhen-Song Chen
Expertise-Structure and Risk-Appetite-Integrated Two-Tiered Collective Opinion Generation Framework for Large-Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 30(12): 5496-5510 (2022) - [j984]Witold Pedrycz
Evaluating Quality of Models via Prediction Information Granules. IEEE Trans. Fuzzy Syst. 30(12): 5551-5556 (2022) - [j983]Ying Feng
Hybrid Intelligent Control Based on Condition Identification for Combustion Process in Heating Furnace of Compact Strip Production. IEEE Trans. Ind. Electron. 69(3): 2790-2800 (2022) - [j982]Gai-Ge Wang
Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm. IEEE Trans. Ind. Informatics 18(12): 8519-8528 (2022) - [j981]Huan Liu
An Autonomous Path Planning Method for Unmanned Aerial Vehicle Based on a Tangent Intersection and Target Guidance Strategy. IEEE Trans. Intell. Transp. Syst. 23(4): 3061-3073 (2022) - [j980]YeongMin Ko
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection. IEEE Trans. Intell. Transp. Syst. 23(7): 8949-8958 (2022) - [j979]Farzeen Munir
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor. IEEE Trans. Intell. Transp. Syst. 23(7): 9318-9334 (2022) - [j978]Younkwan Lee
License Plate Detection via Information Maximization. IEEE Trans. Intell. Transp. Syst. 23(9): 14908-14921 (2022) - [j977]Seok-Beom Roh
Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1385-1399 (2022) - [j976]Jongmin Yu
Abnormal Event Detection and Localization via Adversarial Event Prediction. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3572-3586 (2022) - [j975]Yongming He, Lining Xing
A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1463-1474 (2022) - [j974]Cong-Cong Li
Integrating Continual Personalized Individual Semantics Learning in Consensus Reaching in Linguistic Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1525-1536 (2022) - [j973]Wenbo Qiu
Ensemble Many-Objective Optimization Algorithm Based on Voting Mechanism. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1716-1730 (2022) - [j972]Xiubin Zhu
Construction and Evaluation of Information Granules: From the Perspective of Clustering. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 2024-2037 (2022) - [j971]Yuanjian Zhang
Granular Multilabel Batch Active Learning With Pairwise Label Correlation. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 3079-3091 (2022) - [j970]Phu Pham
ComGCN: Community-Driven Graph Convolutional Network for Link Prediction in Dynamic Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5481-5493 (2022) - [j969]Yuanhang Zheng
A Granular Computing-Driving Hesitant Fuzzy Linguistic Method for Supporting Large-Scale Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6048-6060 (2022) - [j968]Baoju Liu
Bottom-Up Mechanism and Improved Contract Net Protocol for Dynamic Task Planning of Heterogeneous Earth Observation Resources. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6183-6196 (2022) - [j967]Cong Ma
The Long-Term Prediction of Time Series: A Granular Computing-Based Design Approach. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6326-6338 (2022) - [c280]Witold Pedrycz:
A Society-Oriented Environment of Machine Learning. ICCI*CC 2022: 1 - [c279]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong
Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning. ICCI*CC 2022: 9-15 - [c278]Yingxu Wang, Bernard Widrow, Witold Pedrycz, Janusz Kacprzyk, Sam Kwong
Recent Breakthroughs in Cognitive Informatics and Cognitive Computing towards Autonomous AI (Plenary Panel Report-I of IEEE ICCI*CC'22). ICCI*CC 2022: 258-267 - [c277]Ayomide Bakare
Analyses of Software Data and Their Interpretations: A Framework of Information Granules. ACAI 2022: 20:1-20:6 - [c276]Min Li, Luefeng Chen, Min Wu, Witold Pedrycz, Kaoru Hirota:
Dynamic Expression Recognition-Based Quantitative Evaluation of Teaching Validity Using Valence-Arousal Emotion Space. ASCC 2022: 1079-1083 - [c275]Pawel Karczmarek, Michal Dolecki, Pawel Powroznik, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski:
Quadrature-Inspired Generalized Choquet Integral. FUZZ-IEEE 2022: 1-7 - [c274]Pawel Karczmarek, Lukasz Galka, Michal Dolecki, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn
Enhanced Tree-Based Anomaly Detection. FUZZ-IEEE 2022: 1-7 - [c273]Agnieszka Jastrzebska
ARIMA Feature-Based Approach to Time Series Classification. ICCS (1) 2022: 192-199 - [c272]Youpeng Yang, Sanhgyuk Lee, Haolan Zhang
Negative Hesitation Soft Fuzzy Sets and its Application on Decision Making Problems. ICMLC 2022: 91-96 - [c271]Paolo Ciancarini
Issues in the Adoption of the Scaled Agile Framework. ICSE (SEIP) 2022: 175-184 - [c270]Witold Pedrycz:
Federated Learning, Knowledge Transfer, and Knowledge Distillation: Developments with Information Granules. ICSOFT 2022: 5 - [c269]Yegor Bugayenko, Kirill Daniakin
Extracting Corrective Actions from Code Repositories. MSR 2022: 687-688 - [c268]Yegor Bugayenko
Automatically Prioritizing and Assigning Tasks from Code Repositories in Puzzle Driven Development. MSR 2022: 722-723 - [c267]Francisco Javier Cabrerizo, Juan Carlos González-Quesada, Enrique Herrera-Viedma, Arturas Kaklauskas
Managing Inconsistency With an Optimal Distribution of Information Granularity in Fuzzy Preference Relations. SMC 2022: 359-364 - [c266]Francisco Javier Cabrerizo, Juan Carlos González-Quesada, Juan Antonio Morente-Molinera, Ignacio Javier Pérez
An Improvement of Consensus in Group Decision-Making Through an Optimal Distribution of Information Granularity. SSCI 2022: 119-124 - [e39]Yingxu Wang, Konstantinos N. Plataniotis, Bernard Widrow, Witold Pedrycz, Witold Kinsner, Petros Spachos, Sam Kwong:
21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2022, Toronto, ON, Canada, December 8-10, 2022. IEEE 2022, ISBN 978-1-6654-9084-9 [contents] - [d2]Yegor Bugayenko, Kirill Daniakin, Mirko Farina, Rustam Ikramov, Firas Jolha, Zamira Kholmatova, Artem V. Kruglov, Witold Pedrycz, Giancarlo Succi:
Metrics for Recommending Corrective and Preventive Actions (CAPAs) in Software Development Projects: a Systematic Literature Review. IEEE DataPort, 2022 - [d1]Yaroslav Plaksin, Ayomide Bakare, Arina Cheverda, Giancarlo Succi, Witold Pedrycz, Mirko Farina, Artem V. Kruglov, Yegor Bugayenko:
Prioritizing Tasks in Software Development: a Systematic Literature Review. IEEE DataPort, 2022 - [i29]Haichao Zhang, Kuangrong Hao, Witold Pedrycz, Lei Gao, Xue-Song Tang, Bing Wei:
Vision Transformer with Convolutions Architecture Search. CoRR abs/2203.10435 (2022) - [i28]Fangyu Hong, Guohua Wu, Qizhang Luo, Huan Liu, Xiaoping Fang, Witold Pedrycz:
Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System. CoRR abs/2204.01335 (2022) - [i27]Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu:
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. CoRR abs/2205.00256 (2022) - [i26]Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Zhihui Lai, Kwok-Wai Hung:
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning. CoRR abs/2206.12592 (2022) - [i25]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. CoRR abs/2209.02048 (2022) - [i24]Yegor Bugayenko
An experience in automatically extracting CAPAs from code repositories. CoRR abs/2212.09910 (2022) - 2021
- [b10]Witold Pedrycz:
An Introduction to Computing with Fuzzy Sets - Analysis, Design, and Applications. Intelligent Systems Reference Library 190, Springer 2021, ISBN 978-3-030-52799-0, pp. 1-269 - [b9]Luefeng Chen, Min Wu, Witold Pedrycz, Kaoru Hirota:
Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems. Studies in Computational Intelligence 926, Springer 2021, ISBN 978-3-030-61576-5, pp. 1-244 - [j966]Tram Nguyen
Multi-Swarm Optimization for Extracting Multiple-Choice Tests From Question Banks. IEEE Access 9: 32131-32148 (2021) - [j965]Jinbo Li, Hesam Izakian, Witold Pedrycz, Iqbal Jamal:
Clustering-based anomaly detection in multivariate time series data. Appl. Soft Comput. 100: 106919 (2021) - [j964]Majed M. Alateeq
A comparative analysis of bio-inspired optimization algorithms for automated test pattern generation in sequential circuits. Appl. Soft Comput. 101: 106967 (2021) - [j963]Sui-Zhi Luo, Witold Pedrycz, Lining Xing:
Pricing of satellite image data products: Neutrosophic fuzzy pricing approaches under different game scenarios. Appl. Soft Comput. 102: 107106 (2021) - [j962]Wing W. Y. Ng
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model. Appl. Soft Comput. 104: 107178 (2021) - [j961]Farnaz Mahan
Chi-MFlexDT: Chi-square-based multi flexible fuzzy decision tree for data stream classification. Appl. Soft Comput. 105: 107301 (2021) - [j960]Pawel Karczmarek, Adam Kiersztyn
Fuzzy C-Means-based Isolation Forest. Appl. Soft Comput. 106: 107354 (2021) - [j959]Liangliang Zhang, Sung-Kwun Oh
Building fuzzy relationships between compressive strength and 3D microstructural image features for cement hydration using Gaussian mixture model-based polynomial radial basis function neural networks. Appl. Soft Comput. 112: 107766 (2021) - [j958]Dan Wang, Peng Nie
Designing of higher order information granules through clustering heterogeneous granular data. Appl. Soft Comput. 112: 107820 (2021) - [j957]Zhen-Song Chen
Sustainable building material selection: An integrated multi-criteria large group decision making framework. Appl. Soft Comput. 113(Part): 107903 (2021) - [j956]Norma P. Rodríguez-Cándido, Rafael Alejandro Espín Andrade
A Compensatory Fuzzy Logic Model in Technical Trading. Axioms 10(1): 36 (2021) - [j955]Rafael Alejandro Espín Andrade
Transdisciplinary Scientific Strategies for Soft Computing Development: Towards an Era of Data and Business Analytics. Axioms 10(2): 93 (2021) - [j954]Renxia Wan
Constrained tolerance rough set in incomplete information systems. CAAI Trans. Intell. Technol. 6(4): 440-449 (2021) - [j953]Shokrollah Ziari
An improved numerical iterative method for solving nonlinear fuzzy Fredholm integral equations via Picard's method and generalized quadrature rule. Comput. Appl. Math. 40(6) (2021) - [j952]Fanyong Meng, Jie Tang, Witold Pedrycz:
Dual hesitant fuzzy decision making in optimization models. Comput. Ind. Eng. 154: 107103 (2021) - [j951]Luefeng Chen, Wanjuan Su
A population randomization-based multi-objective genetic algorithm for gesture adaptation in human-robot interaction. Sci. China Inf. Sci. 64(1) (2021) - [j950]Farnaz Mahan
A Novel Resource Productivity Based on Granular Neural Network in Cloud Computing. Complex. 2021: 5556378:1-5556378:15 (2021) - [j949]Jingwen Wang, Xuyang Jing, Zheng Yan
A Survey on Trust Evaluation Based on Machine Learning. ACM Comput. Surv. 53(5): 107:1-107:36 (2021) - [j948]Sheng Du
Prediction model of burn-through point with fuzzy time series for iron ore sintering process. Eng. Appl. Artif. Intell. 102: 104259 (2021) - [j947]Fanyong Meng, Witold Pedrycz, Jie Tang, Hamido Fujita
Interactive algorithms for normalized probabilistic linguistic preference relations in view of the disjunctive probability based consistency and consensus analysis. Eng. Appl. Artif. Intell. 104: 104363 (2021) - [j946]Jianghong Zhu, Zhen-Song Chen
Failure mode and effect analysis: A three-way decision approach. Eng. Appl. Artif. Intell. 106: 104505 (2021) - [j945]Ming Tang
A hierarchical consensus reaching process for group decision making with noncooperative behaviors. Eur. J. Oper. Res. 293(2): 632-642 (2021) - [j944]Trinh D. D. Nguyen, Loan T. T. Nguyen, Lung Vu, Bay Vo, Witold Pedrycz:
Efficient algorithms for mining closed high utility itemsets in dynamic profit databases. Expert Syst. Appl. 186: 115741 (2021) - [j943]Fanyong Meng, Witold Pedrycz, Jie Tang:
Research on the consistency of additive trapezoidal fuzzy preference relations. Expert Syst. Appl. 186: 115837 (2021) - [j942]Kaijie Xu
Optimizing the prototypes with a novel data weighting algorithm for enhancing the classification performance of fuzzy clustering. Fuzzy Sets Syst. 413: 29-41 (2021) - [j941]Cheng Yang, Sung-Kwun Oh, Bo Yang, Witold Pedrycz, Zunwei Fu:
Fuzzy quasi-linear SVM classifier: Design and analysis. Fuzzy Sets Syst. 413: 42-63 (2021) - [j940]Jie Zhou, Witold Pedrycz, Can Gao
Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning. Fuzzy Sets Syst. 413: 74-98 (2021) - [j939]Cong Wang
Residual-driven Fuzzy C-Means Clustering for Image Segmentation. IEEE CAA J. Autom. Sinica 8(4): 876-889 (2021) - [j938]Dan Wang, Xiubin Zhu, Witold Pedrycz, Zhenhua Yu, Zhiwu Li:
Development of Granular Fuzzy Relation Equations Based on a Subset of Data. IEEE CAA J. Autom. Sinica 8(8): 1416-1427 (2021) - [j937]Hang Wei, Han Huang, Zhifeng Hao, Qin-Qun Chen, Witold Pedrycz, Gang Li:
A real adjacency matrix-coded evolution algorithm for highly linkage-based routing problems. Int. J. Bio Inspired Comput. 18(1): 1-12 (2021) - [j936]Minxuan Li, Jindong Qin, Tao Jiang, Witold Pedrycz:
Dynamic Relationship Network Analysis Based on Louvain Algorithm for Large-Scale Group Decision Making. Int. J. Comput. Intell. Syst. 14(1): 1242-1255 (2021) - [j935]Erick González-Caballero, Rafael Alejandro Espín Andrade
Continuous Linguistic Variables and Their Applications to Data Mining and Time Series Prediction. Int. J. Fuzzy Syst. 23(5): 1431-1452 (2021) - [j934]Fei Teng
A novel method based on probabilistic linguistic term sets and its application in ranking products through online ratings. Int. J. Intell. Syst. 36(9): 4632-4658 (2021) - [j933]Jongseong Kim
Average utility driven data analytics on damped windows for intelligent systems with data streams. Int. J. Intell. Syst. 36(10): 5741-5769 (2021) - [j932]Jie Tang
A new method for deriving priority from dual hesitant fuzzy preference relations. Int. J. Intell. Syst. 36(11): 6613-6644 (2021) - [j931]Wei Huang, Sung-Kwun Oh
Fuzzy reinforced polynomial neural networks constructed with the aid of PNN architecture and fuzzy hybrid predictor based on nonlinear function. Neurocomputing 458: 454-467 (2021) - [j930]Yingying Liang, Yanbing Ju, Jindong Qin, Witold Pedrycz:
Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment. Inf. Fusion 65: 147-164 (2021) - [j929]Zhen-Song Chen
Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China. Inf. Fusion 69: 22-39 (2021) - [j928]Jingjing Zhao, Xuyang Jing, Zheng Yan
Network traffic classification for data fusion: A survey. Inf. Fusion 72: 22-47 (2021) - [j927]Unil Yun
Prelarge-Based Utility-Oriented Data Analytics for Transaction Modifications in Internet of Things. IEEE Internet Things J. 8(24): 17333-17344 (2021) - [j926]Witold Pedrycz:
Paul Wang: Pro Memoria. Inf. Sci. 556: iii (2021) - [j925]Degang Wang, Wenyan Song, Witold Pedrycz, Lili Cai:
An integrated neural network with nonlinear output structure for interval-valued data. J. Intell. Fuzzy Syst. 40(1): 673-683 (2021) - [j924]Kun Shang, Wanqiu Kong
A generic, cluster-centred lossless compression framework for joint auroral data. J. Vis. Commun. Image Represent. 78: 103185 (2021) - [j923]Peide Liu, Xiaohong Zhang, Witold Pedrycz:
A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster-Shafer evidence theory. Knowl. Based Syst. 212: 106559 (2021) - [j922]Yuchen Zhang
Prediction of disease-associated circRNAs via circRNA-disease pair graph and weighted nuclear norm minimization. Knowl. Based Syst. 214: 106694 (2021) - [j921]Xingchen Hu, Witold Pedrycz, Keyu Wu
Information granule-based classifier: A development of granular imputation of missing data. Knowl. Based Syst. 214: 106737 (2021) - [j920]Van Nha Pham, Long The Pham, Witold Pedrycz, Long Thanh Ngo:
Feature-reduction fuzzy co-clustering approach for hyper-spectral image analysis. Knowl. Based Syst. 216: 106549 (2021) - [j919]Kaijie Xu
Augmentation of the reconstruction performance of Fuzzy C-Means with an optimized fuzzification factor vector. Knowl. Based Syst. 222: 106951 (2021) - [j918]Gai-Ge Wang
Improving distributed anti-flocking algorithm for dynamic coverage of mobile wireless networks with obstacle avoidance. Knowl. Based Syst. 225: 107133 (2021) - [j917]Hui Wang, Tie Cai, Kangshun Li, Witold Pedrycz:
Constraint handling technique based on Lebesgue measure for constrained multiobjective particle swarm optimization algorithm. Knowl. Based Syst. 227: 107131 (2021) - [j916]Zhen-Song Chen
K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm. Knowl. Based Syst. 227: 107230 (2021) - [j915]Yanjun Zhou, Huorong Ren, Zhiwu Li, Witold Pedrycz:
An anomaly detection framework for time series data: An interval-based approach. Knowl. Based Syst. 228: 107153 (2021) - [j914]Dang Nguyen
Con2Vec: Learning embedding representations for contrast sets. Knowl. Based Syst. 229: 107382 (2021) - [j913]Dan Wang
A randomization mechanism for realizing granular models in distributed system modeling. Knowl. Based Syst. 232: 107376 (2021) - [j912]Ying Yu
Dense crowd counting based on adaptive scene division. Int. J. Mach. Learn. Cybern. 12(4): 931-942 (2021) - [j911]Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao
Projected fuzzy C-means clustering with locality preservation. Pattern Recognit. 113: 107748 (2021) - [j910]Shreya Pare
Remote Sensing Imagery Segmentation: A Hybrid Approach. Remote. Sens. 13(22): 4604 (2021) - [j909]Xiaoxiong Zhang, Song Ding, Bingfeng Ge, Boyuan Xia, Witold Pedrycz:
Resource allocation among multiple targets for a defender-attacker game with false targets consideration. Reliab. Eng. Syst. Saf. 211: 107617 (2021) - [j908]Xinwei Wang
Agile Earth Observation Satellite Scheduling Over 20 Years: Formulations, Methods, and Future Directions. IEEE Syst. J. 15(3): 3881-3892 (2021) - [j907]Heonho Kim, Unil Yun
Periodicity-Oriented Data Analytics on Time-Series Data for Intelligence System. IEEE Syst. J. 15(4): 4958-4969 (2021) - [j906]Muhammad Akram, Tofigh Allahviranloo
Methods for solving LR-bipolar fuzzy linear systems. Soft Comput. 25(1): 85-108 (2021) - [j905]Yuzhu Wu
Linguistic Distribution and Priority-Based Approximation to Linguistic Preference Relations With Flexible Linguistic Expressions in Decision Making. IEEE Trans. Cybern. 51(2): 649-659 (2021) - [j904]Xiubin Zhu
A Development of Granular Input Space in System Modeling. IEEE Trans. Cybern. 51(3): 1639-1650 (2021) - [j903]Tinghui Ouyang
Granular Description of Data Structures: A Two-Phase Design. IEEE Trans. Cybern. 51(4): 1902-1912 (2021) - [j902]Guoliang Feng
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy. IEEE Trans. Cybern. 51(4): 2080-2092 (2021) - [j901]Jun Zhao
Granular Prediction and Dynamic Scheduling Based on Adaptive Dynamic Programming for the Blast Furnace Gas System. IEEE Trans. Cybern. 51(4): 2201-2214 (2021) - [j900]Wei Lu
Granular Fuzzy Modeling Guided Through the Synergy of Granulating Output Space and Clustering Input Subspaces. IEEE Trans. Cybern. 51(5): 2625-2638 (2021) - [j899]Tinghui Ouyang
Rule-Based Modeling With DBSCAN-Based Information Granules. IEEE Trans. Cybern. 51(7): 3653-3663 (2021) - [j898]Ming Tang
A Dynamic Adaptive Subgroup-to-Subgroup Compatibility-Based Conflict Detection and Resolution Model for Multicriteria Large-Scale Group Decision Making. IEEE Trans. Cybern. 51(10): 4784-4795 (2021) - [j897]Fanyong Meng
Optimal Interaction Priority Calculation From Hesitant Fuzzy Preference Relations Based on the Monte Carlo Simulation Method for the Acceptable Consistency and Consensus. IEEE Trans. Cybern. 51(12): 5871-5882 (2021) - [j896]Hongyue Guo
Information Granulation-Based Fuzzy Clustering of Time Series. IEEE Trans. Cybern. 51(12): 6253-6261 (2021) - [j895]Weiping Ding
Guest Editorial Evolutionary Computation Meets Deep Learning. IEEE Trans. Evol. Comput. 25(5): 810-814 (2021) - [j894]Luefeng Chen
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human-Robot Interaction. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 205-213 (2021) - [j893]Quang-Thinh Bui
SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data. IEEE Trans. Fuzzy Syst. 29(1): 75-89 (2021) - [j892]Seok-Beom Roh
Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation. IEEE Trans. Fuzzy Syst. 29(3): 569-583 (2021) - [j891]Yang Liu, Jun Zhao
Prediction Intervals for Granular Data Streams Based on Evolving Type-2 Fuzzy Granular Neural Network Dynamic Ensemble. IEEE Trans. Fuzzy Syst. 29(4): 874-888 (2021) - [j890]Xiyang Yang
Typical Characteristic-Based Type-2 Fuzzy C-Means Algorithm. IEEE Trans. Fuzzy Syst. 29(5): 1173-1187 (2021) - [j889]Pankaj Gupta
Sentiment Analysis for Driver Selection in Fuzzy Capacitated Vehicle Routing Problem With Simultaneous Pick-Up and Drop in Shared Transportation. IEEE Trans. Fuzzy Syst. 29(5): 1198-1211 (2021) - [j888]Bowen Zhang
Granular Aggregation of Fuzzy Rule-Based Models in Distributed Data Environment. IEEE Trans. Fuzzy Syst. 29(5): 1297-1310 (2021) - [j887]Weiping Ding
Multigranulation Supertrust Model for Attribute Reduction. IEEE Trans. Fuzzy Syst. 29(6): 1395-1408 (2021) - [j886]Fang Liu
Group Decision Making Based on Flexibility Degree of Fuzzy Numbers Under a Confidence Level. IEEE Trans. Fuzzy Syst. 29(6): 1640-1653 (2021) - [j885]Wei Lu
Granular Description With Multigranularity for Multidimensional Data: A Cone-Shaped Fuzzy Set-Based Method. IEEE Trans. Fuzzy Syst. 29(7): 1786-1801 (2021) - [j884]Cong Wang
Sparse Regularization-Based Fuzzy C-Means Clustering Incorporating Morphological Grayscale Reconstruction and Wavelet Frames. IEEE Trans. Fuzzy Syst. 29(7): 1826-1840 (2021) - [j883]Ye Cui
Designing Distributed Fuzzy Rule-Based Models. IEEE Trans. Fuzzy Syst. 29(7): 2047-2053 (2021) - [j882]Cheng Yang, Sung-Kwun Oh
Design of Reinforced Fuzzy Radial Basis Function Neural Network Classifier Driven With the Aid of Iterative Learning Techniques and Support Vector-Based Clustering. IEEE Trans. Fuzzy Syst. 29(9): 2506-2520 (2021) - [j881]Peide Liu
Consistency- and Consensus-Based Group Decision-Making Method With Incomplete Probabilistic Linguistic Preference Relations. IEEE Trans. Fuzzy Syst. 29(9): 2565-2579 (2021) - [j880]Bowen Zhang
Maximum Fuzzy Consensus Feedback Mechanism With Minimum Cost and Private Interest in Group Decision-Making. IEEE Trans. Fuzzy Syst. 29(9): 2689-2700 (2021) - [j879]Ali Safari Mamaghani
Genetic-Programming-Based Architecture of Fuzzy Modeling: Towards Coping With High-Dimensional Data. IEEE Trans. Fuzzy Syst. 29(9): 2774-2784 (2021) - [j878]Bowen Zhang
A Comparative Study Between Analytic Hierarchy Process and Its Fuzzy Variants: A Perspective Based on Two Linguistic Models. IEEE Trans. Fuzzy Syst. 29(11): 3270-3279 (2021) - [j877]Congcong Zhang
Design of Reinforced Hybrid Fuzzy Rule-Based Neural Networks Driven to Inhomogeneous Neurons and Tournament Selection. IEEE Trans. Fuzzy Syst. 29(11): 3293-3307 (2021) - [j876]Bowen Zhang
Design of Interval Type-2 Information Granules Based on the Principle of Justifiable Granularity. IEEE Trans. Fuzzy Syst. 29(11): 3456-3469 (2021) - [j875]Yinghua Shen
Identification of Fuzzy Rule-Based Models With Output Space Knowledge Guidance. IEEE Trans. Fuzzy Syst. 29(11): 3504-3518 (2021) - [j874]Xingli Wu
Probabilistic Linguistic Term Set With Interval Uncertainty. IEEE Trans. Fuzzy Syst. 29(11): 3532-3545 (2021) - [j873]Witold Pedrycz
Aggregation of Order-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 29(11): 3570-3575 (2021) - [j872]Xiubin Zhu
A Development of Hierarchically Structured Granular Models Realized Through Allocation of Information Granularity. IEEE Trans. Fuzzy Syst. 29(12): 3845-3858 (2021) - [j871]Cong Wang
G-Image Segmentation: Similarity-Preserving Fuzzy C-Means With Spatial Information Constraint in Wavelet Space. IEEE Trans. Fuzzy Syst. 29(12): 3887-3898 (2021) - [j870]Cong Wang
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frame. IEEE Trans. Fuzzy Syst. 29(12): 3910-3924 (2021) - [j869]Chunli Jiang
Service Optimization of Production Process of Polyester Fiber Based on Immune and Endocrine Regulation Algorithm. IEEE Trans. Ind. Informatics 17(10): 6776-6785 (2021) - [j868]Jun Zhao
Spatiotemporal Prediction for Energy System of Steel Industry by Generalized Tensor Granularity Based Evolving Type-2 Fuzzy Neural Network. IEEE Trans. Ind. Informatics 17(12): 7933-7945 (2021) - [j867]Yoonji Baek, Unil Yun
RHUPS: Mining Recent High Utility Patterns with Sliding Window-based Arrival Time Control over Data Streams. ACM Trans. Intell. Syst. Technol. 12(2): 16:1-16:27 (2021) - [j866]Huan Liu
An Iterative Two-Phase Optimization Method Based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs. IEEE Trans. Intell. Transp. Syst. 22(9): 5926-5938 (2021) - [j865]Huangke Chen
Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment. IEEE Trans. Serv. Comput. 14(4): 1167-1178 (2021) - [j864]Edward W. Tunstel
Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 5-21 (2021) - [j863]Huangke Chen
An Adaptive Resource Allocation Strategy for Objective Space Partition-Based Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1507-1522 (2021) - [j862]Guangdong Tian
Fuzzy Grey Choquet Integral for Evaluation of Multicriteria Decision Making Problems With Interactive and Qualitative Indices. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1855-1868 (2021) - [j861]Huangke Chen
Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3552-3564 (2021) - [j860]Yao Liu, Zhong Liu, Jianmai Shi
Two-Echelon Routing Problem for Parcel Delivery by Cooperated Truck and Drone. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7450-7465 (2021) - [j859]Chunli Jiang, Kuangrong Hao
Optimization control method for industrial Internet of Things based on biological adaptive coevolutionary. Wirel. Networks 27(8): 5145-5160 (2021) - [c265]Witold Pedrycz:
From Data to Information Granules: An Environment of Granular Computing. ICCI*CC 2021: 2 - [c264]Yingxu Wang, Bernard Widrow, Witold Pedrycz, Robert C. Berwick, Paolo Soda, Sam Kwong
IEEE ICCI*CC Series in Year 20: Latest Advances in Cognitive Informatics and Cognitive Computing towards General AI (Plenary Panel Report-I). ICCI*CC 2021: 253-263 - [c263]Witold Pedrycz:
Interpretability and Explainability Facets of Data Analytics: Symbols and Information Granules. COMPLEXIS 2021: 7-8 - [c262]Lijie Han, Mingli Song, Witold Pedrycz:
An Approach to Determine Best Cutting-points in Group Decision Making Problems with Information Granules. FUZZ-IEEE 2021: 1-6 - [c261]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Marcin Badurowicz, Dariusz Czerwinski, Jerzy Montusiewicz:
K-Medoids Clustering and Fuzzy Sets for Isolation Forest. FUZZ-IEEE 2021: 1-8 - [c260]Adam Kiersztyn, Krystyna Kiersztyn
Classification of Complex Ecological Objects with the Use of Information Granules. FUZZ-IEEE 2021: 1-6 - [c259]Adam Kiersztyn
The Concept of Granular Representation of the Information Potential of Variables. FUZZ-IEEE 2021: 1-6 - [c258]Adam Kiersztyn, Rafal Lopucki
A Comprehensive Analysis of the Impact of Selecting the Training Set Elements on the Correctness of Classification for Highly Variable Ecological Data. FUZZ-IEEE 2021: 1-6 - [c257]Witold Pedrycz:
Interpretability and Explainability Facets of Data Analytics: Symbols and Information Granules. IoTBDS 2021: 9-10 - [e38]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12854, Springer 2021, ISBN 978-3-030-87985-3 [contents] - [e37]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12855, Springer 2021, ISBN 978-3-030-87896-2 [contents] - [i23]Yongming He, Guohua Wu, Yingwu Chen, Witold Pedrycz:
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems. CoRR abs/2103.05847 (2021) - [i22]Bingjie Li, Guohua Wu, Yongming He, Mingfeng Fan, Witold Pedrycz:
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem. CoRR abs/2107.07076 (2021) - [i21]Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun:
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. CoRR abs/2112.12328 (2021) - 2020
- [j858]Ge Zhang
Outlier Processing in Multimodal Emotion Recognition. IEEE Access 8: 55688-55701 (2020) - [j857]Linqing Wang, Zhongyang Han
A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry. IEEE Access 8: 63538-63550 (2020) - [j856]Zheng Wang
Robust Multi-Linear Fuzzy SVR Designed With the Aid of Fuzzy C-Means Clustering Based on Insensitive Data Information. IEEE Access 8: 184997-185011 (2020) - [j855]Qian Zhao
A Method Based on Bivariate Almost Stochastic Dominance for Multiple Criteria Group Decision Making With Probabilistic Dual Hesitant Fuzzy Information. IEEE Access 8: 203769-203786 (2020) - [j854]Francisco Javier Cabrerizo
Estimating incomplete information in group decision making: A framework of granular computing. Appl. Soft Comput. 86 (2020) - [j853]Yiming Tang
Fuzzy C-Means clustering through SSIM and patch for image segmentation. Appl. Soft Comput. 87: 105928 (2020) - [j852]Xiaoan Tang, Qiang Zhang, Zhanglin Peng
Distribution linguistic preference relations with incomplete symbolic proportions for group decision making. Appl. Soft Comput. 88: 106005 (2020) - [j851]Jindong Qin, Yan Xi, Witold Pedrycz:
Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method. Appl. Soft Comput. 89: 106134 (2020) - [j850]Mojtaba Ghanbari
On the rectangular fuzzy complex linear systems. Appl. Soft Comput. 91: 106196 (2020) - [j849]Dejian Yu
Bibliometric analysis of rough sets research. Appl. Soft Comput. 94: 106467 (2020) - [j848]Xue Chen, Lijie Peng, Zhibin Wu
Controlling the worst consistency index for hesitant fuzzy linguistic preference relations in consensus optimization models. Comput. Ind. Eng. 143: 106423 (2020) - [j847]Zhen-Song Chen
Bid evaluation in civil construction under uncertainty: A two-stage LSP-ELECTRE III-based approach. Eng. Appl. Artif. Intell. 94: 103835 (2020) - [j846]Bowen Zhang, Yucheng Dong, Hengjie Zhang, Witold Pedrycz:
Consensus mechanism with maximum-return modifications and minimum-cost feedback: A perspective of game theory. Eur. J. Oper. Res. 287(2): 546-559 (2020) - [j845]Ali Safari Mamaghani, Witold Pedrycz:
Structural optimization of fuzzy rule-based models: Towards efficient complexity management. Expert Syst. Appl. 152: 113362 (2020) - [j844]Dang Nguyen
Succinct contrast sets via false positive controlling with an application in clinical process redesign. Expert Syst. Appl. 161: 113670 (2020) - [j843]Unil Yun, Hyoju Nam, Jongseong Kim, Heonho Kim, Yoonji Baek, Judae Lee, Eunchul Yoon, Tin C. Truong
Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases. Future Gener. Comput. Syst. 103: 58-78 (2020) - [j842]Fang Liu, Jia-Wei Zhang, Qin Yu, Ya-Nan Peng, Witold Pedrycz:
On weak consistency of interval additive reciprocal matrices. Fuzzy Optim. Decis. Mak. 19(2): 153-175 (2020) - [j841]Jeremy Kerr-Wilson, Witold Pedrycz:
Generating a hierarchical fuzzy rule-based model. Fuzzy Sets Syst. 381: 124-139 (2020) - [j840]Corrado Mencar
Granular counting of uncertain data. Fuzzy Sets Syst. 387: 108-126 (2020) - [j839]Suping Xu
Label distribution learning: A local collaborative mechanism. Int. J. Approx. Reason. 121: 59-84 (2020) - [j838]Debdas Ghosh, Amit Kumar Debnath, Witold Pedrycz:
A variable and a fixed ordering of intervals and their application in optimization with interval-valued functions. Int. J. Approx. Reason. 121: 187-205 (2020) - [j837]Waldemar W. Koczkodaj, Fang Liu
On the use of group theory to generalize elements of pairwise comparisons matrix: A cautionary note. Int. J. Approx. Reason. 124: 59-65 (2020) - [j836]Hui Wang, Kangshun Li, Witold Pedrycz:
A routing algorithm based on simulated annealing algorithm for maximising wireless sensor networks lifetime with a sink node. Int. J. Bio Inspired Comput. 15(4): 264-275 (2020) - [j835]Lu Xiao, Zhen-Song Chen, Xuan Zhang, Jian-Peng Chang, Witold Pedrycz, Kwai-Sang Chin:
Bid Evaluation for Major Construction Projects Under Large-Scale Group Decision-Making Environment and Characterized Expertise Levels. Int. J. Comput. Intell. Syst. 13(1): 1227-1242 (2020) - [j834]Abdullah Saeed Balamash
Data Description Through Information Granules: A Multiview Perspective. Int. J. Fuzzy Syst. 22(6): 1731-1747 (2020) - [j833]Victor Gerardo Alfaro-Garcia
Citation Analysis of Fuzzy Set Theory Journals: Bibliometric Insights About Authors and Research Areas. Int. J. Fuzzy Syst. 22(8): 2414-2448 (2020) - [j832]Luis Martínez, Witold Pedrycz, Laura Cruz Reyes
Editorial on Special Issue: "Fuzzy Models for Business Analytics". Int. J. Fuzzy Syst. 22(8): 2690 (2020) - [j831]Peide Liu, Hongxue Xu, Witold Pedrycz:
A normal wiggly hesitant fuzzy linguistic projection-based multiattributive border approximation area comparison method. Int. J. Intell. Syst. 35(3): 432-469 (2020) - [j830]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov, Rafig R. Aliyev:
Eigensolutions of Partially Reliable Decision Preferences Described by Matrices of Z-Numbers. Int. J. Inf. Technol. Decis. Mak. 19(6): 1429-1450 (2020) - [j829]Francesco Colace
On a granular functional link network for classification. Neurocomputing 398: 108-116 (2020) - [j828]Congcong Zhang
Self-organized hybrid fuzzy neural networks driven with the aid of probability-based node selection and enhanced input strategy. Neurocomputing 417: 471-489 (2020) - [j827]Zheng Yan
Data fusion in heterogeneous networks. Inf. Fusion 53: 1-3 (2020) - [j826]Tong Meng, Xuyang Jing, Zheng Yan
A survey on machine learning for data fusion. Inf. Fusion 57: 115-129 (2020) - [j825]Rafik A. Aliev, Witold Pedrycz, Babek G. Guirimov
Clustering method for production of Z-number based if-then rules. Inf. Sci. 520: 155-176 (2020) - [j824]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu:
Combining Classifiers for Foreign Pattern Rejection. J. Artif. Intell. Soft Comput. Res. 10(2): 75-94 (2020) - [j823]Yingjie Wang, Guangquan Xu, Xing Liu, Weixuan Mao, Chengxiang Si, Witold Pedrycz, Wei Wang
Identifying vulnerabilities of SSL/TLS certificate verification in Android apps with static and dynamic analysis. J. Syst. Softw. 167: 110609 (2020) - [j822]Xiaoan Tang, Zhanglin Peng, Qiang Zhang, Witold Pedrycz, Shanlin Yang:
Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic preference relations. Knowl. Based Syst. 189 (2020) - [j821]Yuanjian Zhang, Duoqian Miao, Witold Pedrycz, Tianna Zhao, Jianfeng Xu, Ying Yu:
Granular structure-based incremental updating for multi-label classification. Knowl. Based Syst. 189 (2020) - [j820]Lina Li, Witold Pedrycz, Ting Qu, Zhiwu Li:
Fuzzy associative memories with autoencoding mechanisms. Knowl. Based Syst. 191: 105090 (2020) - [j819]Chen Fu, Wei Lu, Witold Pedrycz, Jianhua Yang:
Rule-based granular classification: A hypersphere information granule-based method. Knowl. Based Syst. 194: 105500 (2020) - [j818]Fang Liu, Jia-Wei Zhang, Wei-Guo Zhang, Witold Pedrycz:
Decision making with a sequential modeling of pairwise comparison process. Knowl. Based Syst. 195: 105642 (2020) - [j817]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Ebru Al:
K-Means-based isolation forest. Knowl. Based Syst. 195: 105659 (2020) - [j816]Manisha Singla, Debdas Ghosh
Robust twin support vector regression based on rescaled Hinge loss. Pattern Recognit. 105: 107395 (2020) - [j815]Gyu Ho Choi
Recognition System Using Fusion Normalization Based on Morphological Features of Post-Exercise ECG for Intelligent Biometrics. Sensors 20(24): 7130 (2020) - [j814]Ferdinando Di Martino
Hierarchical granular hotspots detection. Soft Comput. 24(2): 1357-1376 (2020) - [j813]Xiang Li
Linking granular computing, big data and decision making: a case study in urban path planning. Soft Comput. 24(10): 7435-7450 (2020) - [j812]Jianhua Jin, Mingfei Ye
Quintuple Implication Principle on interval-valued intuitionistic fuzzy sets. Soft Comput. 24(16): 12091-12109 (2020) - [j811]Tianyu Liu, Xiubin Zhu
A design of information granule-based under-sampling method in imbalanced data classification. Soft Comput. 24(22): 17333-17347 (2020) - [j810]Huangke Chen
Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Geo-Distributed Clouds. IEEE Trans. Big Data 6(1): 131-144 (2020) - [j809]Weiping Ding
Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce. IEEE Trans. Cybern. 50(2): 425-439 (2020) - [j808]Mahardhika Pratama
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. IEEE Trans. Cybern. 50(2): 664-677 (2020) - [j807]Yuzhu Wu
Flexible Linguistic Expressions and Consensus Reaching With Accurate Constraints in Group Decision-Making. IEEE Trans. Cybern. 50(6): 2488-2501 (2020) - [j806]Huangke Chen
Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Cybern. 50(7): 3367-3380 (2020) - [j805]Cong Wang
Wavelet Frame-Based Fuzzy C-Means Clustering for Segmenting Images on Graphs. IEEE Trans. Cybern. 50(9): 3938-3949 (2020) - [j804]Yinghua Shen
Approximation of Fuzzy Sets by Interval Type-2 Trapezoidal Fuzzy Sets. IEEE Trans. Cybern. 50(11): 4722-4734 (2020) - [j803]Miao Rong
A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 24(2): 290-304 (2020) - [j802]Xubin Ping
Output Feedback Model Predictive Control of Interval Type-2 T-S Fuzzy System With Bounded Disturbance. IEEE Trans. Fuzzy Syst. 28(1): 148-162 (2020) - [j801]Eun-Hu Kim
Reinforced Fuzzy Clustering-Based Ensemble Neural Networks. IEEE Trans. Fuzzy Syst. 28(3): 569-582 (2020) - [j800]Weiping Ding, Witold Pedrycz, Chin-Teng Lin
Guest Editorial for the Special Issue on Fuzzy Rough Sets for Big Data. IEEE Trans. Fuzzy Syst. 28(5): 803-805 (2020) - [j799]Mukesh Kumar Mehlawat, Pankaj Gupta
A Hybrid Intelligent Approach to Integrated Fuzzy Multiple Depot Capacitated Green Vehicle Routing Problem With Split Delivery and Vehicle Selection. IEEE Trans. Fuzzy Syst. 28(6): 1155-1166 (2020) - [j798]Luefeng Chen
A Fuzzy Deep Neural Network With Sparse Autoencoder for Emotional Intention Understanding in Human-Robot Interaction. IEEE Trans. Fuzzy Syst. 28(7): 1252-1264 (2020) - [j797]Mahardhika Pratama
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams. IEEE Trans. Fuzzy Syst. 28(7): 1315-1328 (2020) - [j796]Zhiming Zhang
A Novel Group Decision-Making Method for Interval-Valued Intuitionistic Multiplicative Preference Relations. IEEE Trans. Fuzzy Syst. 28(8): 1799-1814 (2020) - [j795]Xiaodong Liu
AFSSE: An Interpretable Classifier With Axiomatic Fuzzy Set and Semantic Entropy. IEEE Trans. Fuzzy Syst. 28(11): 2825-2840 (2020) - [j794]Zhiming Zhang
Iterative Algorithms to Manage the Consistency and Consensus for Group Decision-Making With Hesitant Multiplicative Preference Relations. IEEE Trans. Fuzzy Syst. 28(11): 2944-2957 (2020) - [j793]Wei Lu
Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems. IEEE Trans. Fuzzy Syst. 28(11): 2958-2971 (2020) - [j792]Yinghua Shen
Hyperplane Division in Fuzzy C-Means: Clustering Big Data. IEEE Trans. Fuzzy Syst. 28(11): 3032-3046 (2020) - [j791]Fei-Yue Wang, Witold Pedrycz, Francisco Herrera, Shun-Feng Su
Editorial: Fuzzy Logic and Artificial Intelligence: A Special Issue on Emerging Techniques and Their Applications. IEEE Trans. Fuzzy Syst. 28(12): 3063-3064 (2020) - [j790]Da Gao, Gai-Ge Wang
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism. IEEE Trans. Fuzzy Syst. 28(12): 3265-3275 (2020) - [j789]Sheng Du
A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process. IEEE Trans. Ind. Informatics 16(4): 2357-2368 (2020) - [j788]Jie Hu
Prediction Performance Improvement via Anomaly Detection and Correction of Actual Production Data in Iron Ore Sintering Process. IEEE Trans. Ind. Informatics 16(12): 7602-7612 (2020) - [j787]Cong Wang
A Weighted Fidelity and Regularization-Based Method for Mixed or Unknown Noise Removal From Images on Graphs. IEEE Trans. Image Process. 29: 5229-5243 (2020) - [j786]Zheli Liu
NewMCOS: Towards a Practical Multi-Cloud Oblivious Storage Scheme. IEEE Trans. Knowl. Data Eng. 32(4): 714-727 (2020) - [j785]Xiubin Zhu
Development and Analysis of Neural Networks Realized in the Presence of Granular Data. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3606-3619 (2020) - [j784]Jun Zhao
A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4773-4786 (2020) - [j783]Witold Pedrycz:
The benefits and drawbacks of data mining technologies. WIREs Data Mining Knowl. Discov. 10(1) (2020) - [c256]Yiming Tang, Jiajia Huang, Fuji Ren, Witold Pedrycz, Guangqing Bao:
Intuitionistic Entropy-Induced Cooperative Symmetric Implicational Inference. ChineseCSCW 2020: 142-154 - [c255]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu, Yihan Wang:
Multicriteria Decision Making: Scale, Polarity, Symmetry, Interpretability. FUZZ-IEEE 2020: 1-8 - [c254]Pawel Karczmarek
Fuzzy Set-Based Isolation Forest. FUZZ-IEEE 2020: 1-6 - [c253]Pawel Karczmarek
The Assessment of Importance of Selected Issues of Software Engineering, IT Project Management, and Programming Paradigms Based on Graphical AHP and Fuzzy C-Means. FUZZ-IEEE 2020: 1-7 - [c252]Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn
The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules. FUZZ-IEEE 2020: 1-7 - [c251]Adam Kiersztyn, Pawel Karczmarek, Rafal Lopucki
Data Imputation in Related Time Series Using Fuzzy Set-Based Techniques. FUZZ-IEEE 2020: 1-8 - [c250]Witold Pedrycz, Wladyslaw Homenda, Agnieszka Jastrzebska, Fusheng Yu:
Information Granules and Granular Models: Selected Design Investigations. FUZZ-IEEE 2020: 1-8 - [c249]Pawel Karczmarek
n-ary Isolation Forest: An Experimental Comparative Analysis. ICAISC (2) 2020: 188-198 - [c248]Jianjun Zhang, Ting Wang
Minority Oversampling Using Sensitivity. IJCNN 2020: 1-7 - [c247]Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Witold Pedrycz, Enrique Herrera-Viedma:
A Granular Consensus Approach With Minimum Adjustment for Multi-criteria Group Decision Making. SMC 2020: 76-81 - [e36]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12415, Springer 2020, ISBN 978-3-030-61400-3 [contents] - [e35]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12416, Springer 2020, ISBN 978-3-030-61533-8 [contents] - [e34]Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos, Autilia Vitiello:
Computational Intelligence for Semantic Knowledge Management - New Perspectives for Designing and Organizing Information Systems. Studies in Computational Intelligence 837, Springer 2020, ISBN 978-3-030-23758-5 [contents] - [e33]Witold Pedrycz, Shyi-Ming Chen:
Development and Analysis of Deep Learning Architectures. Studies in Computational Intelligence 867, Springer 2020, ISBN 978-3-030-31763-8 [contents] - [i20]Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou, Jun Zhao
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames. CoRR abs/2002.08418 (2020) - [i19]Xinwei Wang, Guohua Wu, Lining Xing, Witold Pedrycz:
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions. CoRR abs/2003.06169 (2020) - [i18]Kaijie Xu
Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix. CoRR abs/2004.03379 (2020) - [i17]Kaijie Xu
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector. CoRR abs/2004.05764 (2020) - [i16]Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou:
Residual-driven Fuzzy C-Means Clustering for Image Segmentation. CoRR abs/2004.07160 (2020) - [i15]Kaijie Xu
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes. CoRR abs/2005.05519 (2020) - [i14]Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy. CoRR abs/2006.04103 (2020) - [i13]Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu:
Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model. CoRR abs/2007.01208 (2020) - [i12]Baoju Liu, Min Deng, Guohua Wu, Xinyu Pei, Haifeng Li, Witold Pedrycz:
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources. CoRR abs/2007.06172 (2020) - [i11]Aijuan Song, Guohua Wu, Witold Pedrycz:
Integrating Variable Reduction Strategy with Evolutionary Algorithm for Solving Nonlinear Equations Systems. CoRR abs/2008.04223 (2020)
2010 – 2019
- 2019
- [j782]Hai Wang
An Aspiration-Based Approach for Qualitative Decision-Making With Complex Linguistic Expressions. IEEE Access 7: 12529-12546 (2019) - [j781]Dan Wang, Witold Pedrycz, Zhiwu Li
A Two-Phase Development of Fuzzy Rule-Based Model and Their Analysis. IEEE Access 7: 80328-80341 (2019) - [j780]Jong-Soo Bae, Sung-Kwun Oh
Design of fuzzy radial basis function neural network classifier based on information data preprocessing for recycling black plastic wastes: comparative studies of ATR FT-IR and Raman spectroscopy. Appl. Intell. 49(3): 929-949 (2019) - [j779]Mingli Song, Yukai Jing, Witold Pedrycz:
Granular neural networks: A study of optimizing allocation of information granularity in input space. Appl. Soft Comput. 77: 67-75 (2019) - [j778]Lidong Wang
Hesitant 2-tuple linguistic Bonferroni operators and their utilization in group decision making. Appl. Soft Comput. 77: 653-664 (2019) - [j777]Luefeng Chen
Multi-SVM based Dempster-Shafer theory for gesture intention understanding using sparse coding feature. Appl. Soft Comput. 85 (2019) - [j776]Rafal Kozik
Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection. Complex. 2019: 5826737:1-5826737:9 (2019) - [j775]Xuyang Jing, Zheng Yan
Security Data Collection and Data Analytics in the Internet: A Survey. IEEE Commun. Surv. Tutorials 21(1): 586-618 (2019) - [j774]Tinghui Ouyang
Record linkage based on a three-way decision with the use of granular descriptors. Expert Syst. Appl. 122: 16-26 (2019) - [j773]Xiao Wang
Clustering of interval-valued time series of unequal length based on improved dynamic time warping. Expert Syst. Appl. 125: 293-304 (2019) - [j772]Marcin Mironczuk
Empirical evaluation of feature projection algorithms for multi-view text classification. Expert Syst. Appl. 130: 97-112 (2019) - [j771]Ning Yao
Causality measures and analysis: A rough set framework. Expert Syst. Appl. 136: 187-200 (2019) - [j770]Hongyang Yan, Yu Wang
IoT-FBAC: Function-based access control scheme using identity-based encryption in IoT. Future Gener. Comput. Syst. 95: 344-353 (2019) - [j769]Xingchen Hu, Witold Pedrycz, Dianhui Wang:
Fuzzy rule-based models with randomized development mechanisms. Fuzzy Sets Syst. 361: 71-87 (2019) - [j768]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo, Zunwei Fu
Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering. Int. J. Approx. Reason. 106: 228-243 (2019) - [j767]Jesus Soto, Oscar Castillo
A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks. Int. J. Fuzzy Syst. 21(5): 1629-1648 (2019) - [j766]Jie Zhou, Can Gao
Constrained shadowed sets and fast optimization algorithm. Int. J. Intell. Syst. 34(10): 2655-2675 (2019) - [j765]José Alfredo Ruiz Vargas
Improved learning algorithm for two-layer neural networks for identification of nonlinear systems. Neurocomputing 329: 86-96 (2019) - [j764]Yiming Tang
Possibilistic fuzzy clustering with high-density viewpoint. Neurocomputing 329: 407-423 (2019) - [j763]Yong Su
The Distributivity Equations of Semi-Uninorms. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(2): 329-349 (2019) - [j762]Felipe Diniz Ramalho, Petr Yakovlevitch Ekel
Multicriteria decision making under conditions of uncertainty in application to multiobjective allocation of resources. Inf. Fusion 49: 249-261 (2019) - [j761]Xuyang Jing, Zheng Yan
Network traffic fusion and analysis against DDoS flooding attacks with a novel reversible sketch. Inf. Fusion 51: 100-113 (2019) - [j760]Tong Li, Chongzhi Gao, Liaoliang Jiang, Witold Pedrycz, Jian Shen
Publicly verifiable privacy-preserving aggregation and its application in IoT. J. Netw. Comput. Appl. 126: 39-44 (2019) - [j759]Xuyang Jing, Jingjing Zhao, Qinghua Zheng, Zheng Yan
A reversible sketch-based method for detecting and mitigating amplification attacks. J. Netw. Comput. Appl. 142: 15-24 (2019) - [j758]Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou:
Sequential three-way classifier with justifiable granularity. Knowl. Based Syst. 163: 103-119 (2019) - [j757]Weikai Wang, Kirubakaran Velswamy, Kuangrong Hao, Lei Chen
A hierarchical memory network-based approach to uncertain streaming data. Knowl. Based Syst. 165: 1-12 (2019) - [j756]Hanyu E
Enhancements of rule-based models through refinements of Fuzzy C-Means. Knowl. Based Syst. 170: 43-60 (2019) - [j755]Chen Fu, Wei Lu, Witold Pedrycz, Jianhua Yang:
Fuzzy granular classification based on the principle of justifiable granularity. Knowl. Based Syst. 170: 89-101 (2019) - [j754]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Random ensemble of fuzzy rule-based models. Knowl. Based Syst. 181 (2019) - [j753]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash
Logic-driven autoencoders. Knowl. Based Syst. 183 (2019) - [j752]Yiming Tang
On continuity of the entropy-based differently implicational algorithm. Kybernetika 55(2): 307-336 (2019) - [j751]Wenjuan Jia, Yingjie Deng, Chenyang Xin, Xiaodong Liu, Witold Pedrycz:
A classification algorithm with Linear Discriminant Analysis and Axiomatic Fuzzy Sets. Math. Found. Comput. 2(1): 73-81 (2019) - [j750]Wentao Li
Fuzziness and incremental information of disjoint regions in double-quantitative decision-theoretic rough set model. Int. J. Mach. Learn. Cybern. 10(10): 2669-2690 (2019) - [j749]Hongyue Guo
Fuzzy time series forecasting based on axiomatic fuzzy set theory. Neural Comput. Appl. 31(8): 3921-3932 (2019) - [j748]Xiaoan Tang
Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach. Neural Comput. Appl. 31(12): 8769-8786 (2019) - [j747]Hongyun Zhang, Ting Zhang, Witold Pedrycz, Cairong Zhao, Duoqian Miao:
Improved adaptive image retrieval with the use of shadowed sets. Pattern Recognit. 90: 390-403 (2019) - [j746]Rami Al-Hmouz
Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures. Soft Comput. 23(2): 407-418 (2019) - [j745]Xiao Wang
Hierarchical clustering of unequal-length time series with area-based shape distance. Soft Comput. 23(15): 6331-6343 (2019) - [j744]Witold Pedrycz, Rami Al-Hmouz
Granular autoencoders: concepts and design. Soft Comput. 23(20): 9869-9880 (2019) - [j743]Ye Cui
Augmentation of rule-based models with a granular quantification of results. Soft Comput. 23(23): 12745-12759 (2019) - [j742]Dan Wang, Witold Pedrycz
Granular Data Aggregation: An Adaptive Principle of the Justifiable Granularity Approach. IEEE Trans. Cybern. 49(2): 417-426 (2019) - [j741]Yinghua Shen
Clustering Homogeneous Granular Data: Formation and Evaluation. IEEE Trans. Cybern. 49(4): 1391-1402 (2019) - [j740]Tien Thanh Nguyen
Aggregation of Classifiers: A Justifiable Information Granularity Approach. IEEE Trans. Cybern. 49(6): 2168-2177 (2019) - [j739]Miao Rong
Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems. IEEE Trans. Cybern. 49(9): 3362-3374 (2019) - [j738]Zhiming Zhang
A Consistency and Consensus-Based Goal Programming Method for Group Decision-Making With Interval-Valued Intuitionistic Multiplicative Preference Relations. IEEE Trans. Cybern. 49(10): 3640-3654 (2019) - [j737]Wing W. Y. Ng
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 49(11): 3844-3858 (2019) - [j736]Fang Liu
Flexibility Degree of Fuzzy Numbers and its Implication to a Group-Decision-Making Model. IEEE Trans. Cybern. 49(12): 4054-4065 (2019) - [j735]Hua Zuo
Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces. IEEE Trans. Fuzzy Syst. 27(2): 348-361 (2019) - [j734]Wei Lu
Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox. IEEE Trans. Fuzzy Syst. 27(4): 775-789 (2019) - [j733]Kaijie Xu
Constructing a Virtual Space for Enhancing the Classification Performance of Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 27(9): 1779-1792 (2019) - [j732]Jun Zhao, Long Chen
Variational Inference-Based Automatic Relevance Determination Kernel for Embedded Feature Selection of Noisy Industrial Data. IEEE Trans. Ind. Electron. 66(1): 416-428 (2019) - [j731]Kaijie Xu
High-Accuracy Signal Subspace Separation Algorithm Based on Gaussian Kernel Soft Partition. IEEE Trans. Ind. Electron. 66(1): 491-499 (2019) - [j730]Wing W. Y. Ng
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics 15(3): 1588-1597 (2019) - [j729]Witold Pedrycz:
Editorial. WIREs Data Mining Knowl. Discov. 9(4) (2019) - [c246]Ruwang Jiao
Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. CEC 2019: 1634-1641 - [c245]Yajie Hao, Nebiyu Siraj Kedir, Nima Gerami Seresht
Consensus Building in Group Decision-Making for the Risk Assessment of Wind Farm Projects. FUZZ-IEEE 2019: 1-7 - [c244]Yinghua Shen
Clustering of Information Granules in Hotspot Identification. FUZZ-IEEE 2019: 1-6 - [c243]Hua Zuo
Domain Selection of Transfer Learning in Fuzzy Prediction Models. FUZZ-IEEE 2019: 1-6 - [c242]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Generalizations of Aggregation Functions for Face Recognition. ICAISC (2) 2019: 182-192 - [c241]Witold Pedrycz:
Keynote Speech 1 From Data to Symbols: A Unified Perspective Through Information Granules. ISKE 2019: 1-14 - [c240]Yiming Tang, Xiaocheng Song, Fuji Ren, Witold Pedrycz:
Entropy-Based Symmetric Implicational Method for R-and (S, N)-Implications. ISKE 2019: 683-688 - [c239]Slawomir Dadas
A Deep Learning Model with Data Enrichment for Intent Detection and Slot Filling. SMC 2019: 3012-3018 - [c238]Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Witold Pedrycz, Enrique Herrera-Viedma:
Managing Missing Values in Intuitionistic Reciprocal Preference Relations: From Numeric Procedures to Granular. SoMeT 2019: 559-572 - [e32]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11508, Springer 2019, ISBN 978-3-030-20911-7 [contents] - [e31]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz
Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11509, Springer 2019, ISBN 978-3-030-20914-8 [contents] - [i10]Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu:
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy. CoRR abs/1908.08339 (2019) - 2018
- [j728]Huorong Ren, Xixi Li
Data Representation Based on Interval-Sets for Anomaly Detection in Time Series. IEEE Access 6: 27473-27479 (2018) - [j727]Marta Kolasa
Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware. Appl. Math. Comput. 319: 31-47 (2018) - [j726]Tuong Le
Mining constrained inter-sequence patterns: a novel approach to cope with item constraints. Appl. Intell. 48(5): 1327-1343 (2018) - [j725]Zhongjie Zhang
Efficient mining product-based fuzzy association rules through central limit theorem. Appl. Soft Comput. 63: 235-248 (2018) - [j724]Honglu Zhou, Mingli Song, Witold Pedrycz:
A comparative study of improved GA and PSO in solving multiple traveling salesmen problem. Appl. Soft Comput. 64: 564-580 (2018) - [j723]Xiaoan Tang, Shanlin Yang, Witold Pedrycz:
Multiple attribute decision-making approach based on dual hesitant fuzzy Frank aggregation operators. Appl. Soft Comput. 68: 525-547 (2018) - [j722]Pankaj Gupta, Mukesh Kumar Mehlawat, Nishtha Grover, Witold Pedrycz:
Multi-attribute group decision making based on extended TOPSIS method under interval-valued intuitionistic fuzzy environment. Appl. Soft Comput. 69: 554-567 (2018) - [j721]Paulo André Sperandio Giacomin, Elder Moreira Hemerly, Witold Pedrycz:
Corrigendum to "A probabilistic approach for designing nonlinear optimal robust tracking controllers for unmanned aerial vehicles" [Appl. Soft Comput. 34 (2015) 26-28]. Appl. Soft Comput. 71: 1216 (2018) - [j720]Tien Thanh Nguyen
Combining heterogeneous classifiers via granular prototypes. Appl. Soft Comput. 73: 795-815 (2018) - [j719]Lingzi Duan, Fusheng Yu, Witold Pedrycz, Xiao Wang
Time-series clustering based on linear fuzzy information granules. Appl. Soft Comput. 73: 1053-1067 (2018) - [j718]Shuai Liu, Witold Pedrycz, Adam Gacek
Development of information granules of higher type and their applications to granular models of time series. Eng. Appl. Artif. Intell. 71: 60-72 (2018) - [j717]Francisco Javier Cabrerizo
Granulating linguistic information in decision making under consensus and consistency. Expert Syst. Appl. 99: 83-92 (2018) - [j716]Ferdinando Di Martino
Spatiotemporal extended fuzzy C-means clustering algorithm for hotspots detection and prediction. Fuzzy Sets Syst. 340: 109-126 (2018) - [j715]Witold Pedrycz:
Granular computing for data analytics: a manifesto of human-centric computing. IEEE CAA J. Autom. Sinica 5(6): 1025-1034 (2018) - [j714]Ahmad Muqeem Sheri, Muhammad Aasim Rafique, Moongu Jeon, Witold Pedrycz:
Background subtraction using Gaussian-Bernoulli restricted Boltzmann machine. IET Image Process. 12(9): 1646-1654 (2018) - [j713]Yong Su
A method to construct fuzzy implications-rotation construction. Int. J. Approx. Reason. 92: 20-31 (2018) - [j712]Yiming Tang
On the α(u, v)-symmetric implicational method for R- and (S, N)-implications. Int. J. Approx. Reason. 92: 212-231 (2018) - [j711]Wentao Li
Distance-based double-quantitative rough fuzzy sets with logic operations. Int. J. Approx. Reason. 101: 206-233 (2018) - [j710]Rami Al-Hmouz, Witold Pedrycz, Khaled Daqrouq, Ali Morfeq:
Development of Multimodal Biometric Systems with Three-Way and Fuzzy Set-Based Decision Mechanisms. Int. J. Fuzzy Syst. 20(1): 128-140 (2018) - [j709]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Generalized Choquet Integral for Face Recognition. Int. J. Fuzzy Syst. 20(3): 1047-1055 (2018) - [j708]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki:
Linguistic Descriptors in Face Recognition. Int. J. Fuzzy Syst. 20(8): 2668-2676 (2018) - [j707]Shounak Roychowdhury, Witold Pedrycz:
Automatic Discovery of Clusters by Removing Noisy Data. Int. J. Intell. Syst. 33(9): 1777-1797 (2018) - [j706]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis. Neurocomputing 303: 20-36 (2018) - [j705]Vincenzo Loia
A Granular Functional Network with delay: Some dynamical properties and application to the sign prediction in social networks. Neurocomputing 321: 61-71 (2018) - [j704]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov
Functions defined on a set of Z-numbers. Inf. Sci. 423: 353-375 (2018) - [j703]Xiujuan Lei, Yuchen Zhang, Shi Cheng, Fang-Xiang Wu
Topology potential based seed-growth method to identify protein complexes on dynamic PPI data. Inf. Sci. 425: 140-153 (2018) - [j702]José M. Merigó
Fifty years of Information Sciences: A bibliometric overview. Inf. Sci. 432: 245-268 (2018) - [j701]Witold Pedrycz, Maciej Krawczak, Slawomir Zadrozny:
Computational intelligence techniques for decision support, data mining and information searching. Inf. Sci. 460-461: 374-376 (2018) - [j700]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov
Hukuhara difference of Z-numbers. Inf. Sci. 466: 13-24 (2018) - [j699]Caihui Liu, Witold Pedrycz, Feng Jiang
Decision-theoretic rough set approaches to multi-covering approximation spaces based on fuzzy probability measure. J. Intell. Fuzzy Syst. 34(3): 1917-1931 (2018) - [j698]Caihui Liu, Witold Pedrycz, Jin Qian, Meizhi Wang:
Covering-based multigranulation decision-theoretic rough set approaches with new strategies. J. Intell. Fuzzy Syst. 35(1): 1179-1191 (2018) - [j697]Degang Wang, Wenyan Song, Witold Pedrycz:
A two stage forecasting approach for interval-valued time series. J. Intell. Fuzzy Syst. 35(2): 2501-2512 (2018) - [j696]Toan Bui, Tram Nguyen, Bay Vo, Thanh Nguyen, Witold Pedrycz, Václav Snásel:
Application of Particle Swarm Optimization to Create Multiple-Choice Tests. J. Inf. Sci. Eng. 34(6): 1405-1423 (2018) - [j695]Gao Liu, Zheng Yan
Data collection for attack detection and security measurement in Mobile Ad Hoc Networks: A survey. J. Netw. Comput. Appl. 105: 105-122 (2018) - [j694]Fang Liu, Qin Yu, Witold Pedrycz, Wei-Guo Zhang:
A group decision making model based on an inconsistency index of interval multiplicative reciprocal matrices. Knowl. Based Syst. 145: 67-76 (2018) - [j693]Vincenzo Loia
Towards a granular computing approach based on Formal Concept Analysis for discovering periodicities in data. Knowl. Based Syst. 146: 1-11 (2018) - [j692]Yuanhang Zheng, Yue He, Zeshui Xu, Witold Pedrycz:
Assessment for hierarchical medical policy proposals using hesitant fuzzy linguistic analytic network process. Knowl. Based Syst. 161: 254-267 (2018) - [j691]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Design of double fuzzy clustering-driven context neural networks. Neural Networks 104: 1-14 (2018) - [j690]Xingchen Hu
Fuzzy classifiers with information granules in feature space and logic-based computing. Pattern Recognit. 80: 156-167 (2018) - [j689]Long Thanh Ngo
Towards interval-valued fuzzy set-based collaborative fuzzy clustering algorithms. Pattern Recognit. 81: 404-416 (2018) - [j688]Mario G. C. A. Cimino
Using Stigmergy to Distinguish Event-Specific Topics in Social Discussions. Sensors 18(7): 2117 (2018) - [j687]Sana Ullah, Witold Pedrycz, George K. Karagiannidis
Guest Editorial Special Issue on Communications Technologies and Infrastructures for Smart e-Health Systems. IEEE Syst. J. 12(1): 16-19 (2018) - [j686]Rami Al-Hmouz
Granular description of data in a non-stationary environment. Soft Comput. 22(2): 523-540 (2018) - [j685]Muhammad Aasim Rafique, Witold Pedrycz, Moongu Jeon:
Vehicle license plate detection using region-based convolutional neural networks. Soft Comput. 22(19): 6429-6440 (2018) - [j684]Michael Shoniker, Oleg Oleynikov, Bruce F. Cockburn
Automatic Selection of Process Corner Simulations for Faster Design Verification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(6): 1312-1316 (2018) - [j683]Xuesong Zhang
Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition. IEEE Trans. Cybern. 48(1): 357-370 (2018) - [j682]Shuming Wang
Data-Driven Adaptive Probabilistic Robust Optimization Using Information Granulation. IEEE Trans. Cybern. 48(2): 450-462 (2018) - [j681]Zhiming Zhang
Intuitionistic Multiplicative Group Analytic Hierarchy Process and Its Use in Multicriteria Group Decision-Making. IEEE Trans. Cybern. 48(7): 1950-1962 (2018) - [j680]Ji Xu, Guoyin Wang
Local-Density-Based Optimal Granulation and Manifold Information Granule Description. IEEE Trans. Cybern. 48(10): 2795-2808 (2018) - [j679]Fei-Yue Wang
Guest Editorial From Intelligent Control to Smart Management of Cyber-Physical-Social Systems: A Celebration of 70th Anniversary of Cybernetics by Norbert Wiener. IEEE Trans. Cybern. 48(12): 3278-3279 (2018) - [j678]Armando Segatori, Francesco Marcelloni
On Distributed Fuzzy Decision Trees for Big Data. IEEE Trans. Fuzzy Syst. 26(1): 174-192 (2018) - [j677]Qinghua Hu
Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 26(1): 226-238 (2018) - [j676]Rami Al-Hmouz
Hierarchical System Modeling. IEEE Trans. Fuzzy Syst. 26(1): 258-269 (2018) - [j675]Yong Su
On the Discrete Bisymmetry. IEEE Trans. Fuzzy Syst. 26(1): 374-378 (2018) - [j674]Hua Zuo
Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 26(2): 847-858 (2018) - [j673]Mukesh Kumar Mehlawat, Pankaj Gupta
A New Possibilistic Optimization Model for Multiple Criteria Assignment Problem. IEEE Trans. Fuzzy Syst. 26(4): 1775-1788 (2018) - [j672]Xiubin Zhu
Granular Representation of Data: A Design of Families of ϵ-Information Granules. IEEE Trans. Fuzzy Syst. 26(4): 2107-2119 (2018) - [j671]Xiubin Zhu
A Design of Granular Takagi-Sugeno Fuzzy Model Through the Synergy of Fuzzy Subspace Clustering and Optimal Allocation of Information Granularity. IEEE Trans. Fuzzy Syst. 26(5): 2499-2509 (2018) - [j670]Mahardhika Pratama
Evolving Ensemble Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 26(5): 2552-2567 (2018) - [j669]Hongyue Guo
Hidden Markov Models Based Approaches to Long-Term Prediction for Granular Time Series. IEEE Trans. Fuzzy Syst. 26(5): 2807-2817 (2018) - [j668]Eun-Hu Kim
Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 26(5): 3054-3068 (2018) - [j667]Xiaodong Duan, Yuangang Wang, Witold Pedrycz
AFSNN: A Classification Algorithm Using Axiomatic Fuzzy Sets and Neural Networks. IEEE Trans. Fuzzy Syst. 26(5): 3151-3163 (2018) - [j666]Fang Liu
A Modified Consensus Model in Group Decision Making With an Allocation of Information Granularity. IEEE Trans. Fuzzy Syst. 26(5): 3182-3187 (2018) - [j665]Zhiming Zhang
Goal Programming Approaches to Managing Consistency and Consensus for Intuitionistic Multiplicative Preference Relations in Group Decision Making. IEEE Trans. Fuzzy Syst. 26(6): 3261-3275 (2018) - [j664]Xiubin Zhu
Granular Models and Granular Outliers. IEEE Trans. Fuzzy Syst. 26(6): 3835-3846 (2018) - [j663]Seok-Beom Roh
Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation. IEEE Trans. Ind. Informatics 14(5): 1802-1813 (2018) - [j662]Xuesong Zhang
Online Feature Transformation Learning for Cross-Domain Object Category Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2857-2871 (2018) - [j661]Wei Huang, Sung-Kwun Oh
Hybrid Fuzzy Wavelet Neural Networks Architecture Based on Polynomial Neural Networks and Fuzzy Set/Relation Inference-Based Wavelet Neurons. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3452-3462 (2018) - [c237]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features. ICAISC (2) 2018: 137-147 - [c236]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
On Some Aspects of an Aggregation Mechanism in Face Recognition Problems. ICAISC (2) 2018: 148-156 - [c235]Adam Kiersztyn, Pawel Karczmarek, Khrystyna Zhadkovska, Witold Pedrycz:
Determination of a Matrix of the Dependencies Between Features Based on the Expert Knowledge. ICAISC (2) 2018: 570-578 - [c234]Adam Kiersztyn, Pawel Karczmarek, Witold Pedrycz:
Multi-level Aggregation in Face Recognition. ICAISC (1) 2018: 645-656 - [c233]Huangke Chen
PEA: Parallel Evolutionary Algorithm by Separating Convergence and Diversity for Large-Scale Multi-Objective Optimization. ICDCS 2018: 223-232 - [c232]Francisco Javier Cabrerizo
Improving Consensus in Group Decision Making with Intuitionistic Reciprocal Preference Relations: A Granular Computing Approach. SMC 2018: 1471-1476 - [e30]Leszek Rutkowski
Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10841, Springer 2018, ISBN 978-3-319-91252-3 [contents] - [e29]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz
Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10842, Springer 2018, ISBN 978-3-319-91261-5 [contents] - [i9]Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb:
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams. CoRR abs/1808.08517 (2018) - 2017
- [j660]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Hybrid fuzzy polynomial neural networks with the aid of weighted fuzzy clustering method and fuzzy polynomial neurons. Appl. Intell. 46(2): 487-508 (2017) - [j659]Xingchen Hu, Witold Pedrycz, Guohua Wu
Data reconstruction with information granules: An augmented method of fuzzy clustering. Appl. Soft Comput. 55: 523-532 (2017) - [j658]Xiang Li, Witold Pedrycz, Dan A. Ralescu:
Optimization under uncertainty: A perspective of soft computing. Appl. Soft Comput. 56: 541-542 (2017) - [j657]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Unsupervised Mode of Rejection of Foreign Patterns. Appl. Soft Comput. 57: 615-626 (2017) - [j656]T. M. Machado-Coelho
An interval space reducing method for constrained problems with particle swarm optimization. Appl. Soft Comput. 59: 405-417 (2017) - [j655]Jinbo Li, Witold Pedrycz, Iqbal Jamal:
Multivariate time series anomaly detection: A framework of Hidden Markov Models. Appl. Soft Comput. 60: 229-240 (2017) - [j654]Guohua Wu
Using variable reduction strategy to accelerate evolutionary optimization. Appl. Soft Comput. 61: 283-293 (2017) - [j653]Xiubin Zhu, Witold Pedrycz, Zhiwu Li
Fuzzy clustering with nonlinearly transformed data. Appl. Soft Comput. 61: 364-376 (2017) - [j652]Lina Li, Witold Pedrycz, Zhiwu Li
Development of associative memories with transformed data. Appl. Soft Comput. 61: 1141-1152 (2017) - [j651]Guohua Wu
Satellite observation scheduling with a novel adaptive simulated annealing algorithm and a dynamic task clustering strategy. Comput. Ind. Eng. 113: 576-588 (2017) - [j650]Orion Fausto Reyes-Galaviz, Witold Pedrycz, Ziyue He, Nick J. Pizzi:
A supervised gradient-based learning algorithm for optimized entity resolution. Data Knowl. Eng. 112: 106-129 (2017) - [j649]Zhongjie Zhang
Efficient frequent itemsets mining through sampling and information granulation. Eng. Appl. Artif. Intell. 65: 119-136 (2017) - [j648]Jindong Qin, Xinwang Liu
An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur. J. Oper. Res. 258(2): 626-638 (2017) - [j647]Bay Vo, Tuong Le
Mining erasable itemsets with subset and superset itemset constraints. Expert Syst. Appl. 69: 50-61 (2017) - [j646]Xiaoyang Zhou, Na Yu, Yan Tu, Witold Pedrycz, Benjamin Lev
Bi-level plant selection and production allocation model under type-2 fuzzy demand. Expert Syst. Appl. 86: 87-98 (2017) - [j645]Xingchen Hu, Witold Pedrycz, Oscar Castillo
Fuzzy rule-based models with interactive rules and their granular generalization. Fuzzy Sets Syst. 307: 1-28 (2017) - [j644]Jeremy Kerr-Wilson
Some new qualitative insights into quality of fuzzy rule-based models. Fuzzy Sets Syst. 307: 29-49 (2017) - [j643]Orion Fausto Reyes-Galaviz, Witold Pedrycz:
Enhancement of the classification and reconstruction performance of fuzzy C-means with refinements of prototypes. Fuzzy Sets Syst. 318: 80-99 (2017) - [j642]Fang Liu, Witold Pedrycz, Zhong-Xing Wang, Wei-Guo Zhang:
An axiomatic approach to approximation-consistency of triangular fuzzy reciprocal preference relations. Fuzzy Sets Syst. 322: 1-18 (2017) - [j641]Xiyang Yang
Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system. Int. J. Approx. Reason. 81: 1-27 (2017) - [j640]Abdullah Saeed Balamash
Perspective-oriented data analysis through the development of information granules of order 2. Int. J. Approx. Reason. 85: 97-106 (2017) - [j639]Yinghua Shen
Collaborative fuzzy clustering algorithm: Some refinements. Int. J. Approx. Reason. 86: 41-61 (2017) - [j638]Yong Su
Coimplications derived from pseudo-uninorms on a complete lattice. Int. J. Approx. Reason. 90: 107-119 (2017) - [j637]Liyong Zhang, Wanxie Zhong, Chongquan Zhong, Wei Lu, Xiaodong Liu, Witold Pedrycz:
Fuzzy C-Means clustering based on dual expression between cluster prototypes and reconstructed data. Int. J. Approx. Reason. 90: 389-410 (2017) - [j636]Tianhao Li, Liyong Zhang, Wei Lu, Hui Hou, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong:
Interval kernel Fuzzy C-Means clustering of incomplete data. Neurocomputing 237: 316-331 (2017) - [j635]Zheng Yan
Fusing and mining opinions for reputation generation. Inf. Fusion 36: 172-184 (2017) - [j634]Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang
Grouping granular structures in human granulation intelligence. Inf. Sci. 382-383: 150-169 (2017) - [j633]Dejian Yu
Information sciences 1968-2016: A retrospective analysis with text mining and bibliometric. Inf. Sci. 418: 619-634 (2017) - [j632]Witold Pedrycz:
Computational Intelligence: Retrospection and Future. J. Adv. Comput. Intell. Intell. Informatics 21(1): 9-12 (2017) - [j631]Lai Duc Anh, Bay Vo, Witold Pedrycz:
Information granulation construction and representation strategies for classification in imbalanced data based on granular computing. J. Inf. Telecommun. 1(2): 113-126 (2017) - [j630]Caihui Liu, Witold Pedrycz, Meizhi Wang:
Covering-based multigranulation decision-theoretic rough sets. J. Intell. Fuzzy Syst. 32(1): 749-765 (2017) - [j629]Witold Pedrycz:
Granular Bidirectional and Multidirectional Associative Memories: Towards a Collaborative Buildup of Granular Mappings. J. Inf. Process. Syst. 13(3): 435-447 (2017) - [j628]Wojciech Froelich
Fuzzy cognitive maps in the modeling of granular time series. Knowl. Based Syst. 115: 110-122 (2017) - [j627]Hai Wang, Zeshui Xu, Witold Pedrycz:
An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities. Knowl. Based Syst. 118: 15-30 (2017) - [j626]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Reinforced rule-based fuzzy models: Design and analysis. Knowl. Based Syst. 119: 44-58 (2017) - [j625]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
From fuzzy rule-based models to their granular generalizations. Knowl. Based Syst. 124: 133-143 (2017) - [j624]Hung Quoc Truong, Long Thanh Ngo, Witold Pedrycz:
Granular Fuzzy Possibilistic C-Means Clustering approach to DNA microarray problem. Knowl. Based Syst. 133: 53-65 (2017) - [j623]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Development of granular models through the design of a granular output spaces. Knowl. Based Syst. 134: 159-171 (2017) - [j622]Huorong Ren, Mingming Liu, Zhiwu Li, Witold Pedrycz:
A Piecewise Aggregate pattern representation approach for anomaly detection in time series. Knowl. Based Syst. 135: 29-39 (2017) - [j621]Mingli Song, Wenqian Shang, Lidong Wang, Witold Pedrycz:
Analysis of spatiotemporal data relationship using information granules. Int. J. Mach. Learn. Cybern. 8(5): 1439-1446 (2017) - [j620]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki:
An application of chain code-based local descriptor and its extension to face recognition. Pattern Recognit. 65: 26-34 (2017) - [j619]Feng Li, Duoqian Miao, Witold Pedrycz:
Granular multi-label feature selection based on mutual information. Pattern Recognit. 67: 410-423 (2017) - [j618]Shuai Liu, Witold Pedrycz, Adam Gacek
A two-phase method of forming a granular representation of signals. Signal Process. 141: 1-15 (2017) - [j617]Witold Pedrycz, Rami Al-Hmouz
Modeling with linguistic entities and linguistic descriptors: a perspective of granular computing. Soft Comput. 21(7): 1833-1845 (2017) - [j616]Abdullah Saeed Balamash
Granular classifiers and their design through refinement of information granules. Soft Comput. 21(10): 2745-2759 (2017) - [j615]Jindong Qin, Xinwang Liu
A multiple attribute interval type-2 fuzzy group decision making and its application to supplier selection with extended LINMAP method. Soft Comput. 21(12): 3207-3226 (2017) - [j614]Pawel Karczmarek, Witold Pedrycz, Adam Kiersztyn, Przemyslaw Rutka
A study in facial features saliency in face recognition: an analytic hierarchy process approach. Soft Comput. 21(24): 7503-7517 (2017) - [j613]Jun Zhao
Data-Based Predictive Optimization for Byproduct Gas System in Steel Industry. IEEE Trans Autom. Sci. Eng. 14(4): 1761-1770 (2017) - [j612]Wing W. Y. Ng, Xing Tian, Yueming Lv, Daniel S. Yeung, Witold Pedrycz:
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 47(11): 3814-3826 (2017) - [j611]Fang Liu, Witold Pedrycz, Wei-Guo Zhang
Limited Rationality and Its Quantification Through the Interval Number Judgments With Permutations. IEEE Trans. Cybern. 47(12): 4025-4037 (2017) - [j610]Xiubin Zhu, Witold Pedrycz, ZhiWu Li
Granular Data Description: Designing Ellipsoidal Information Granules. IEEE Trans. Cybern. 47(12): 4475-4484 (2017) - [j609]Zhiming Zhang, Witold Pedrycz
Models of Mathematical Programming for Intuitionistic Multiplicative Preference Relations. IEEE Trans. Fuzzy Syst. 25(4): 945-957 (2017) - [j608]Xiubin Zhu, Witold Pedrycz, Zhiwu Li
Granular Encoders and Decoders: A Study in Processing Information Granules. IEEE Trans. Fuzzy Syst. 25(5): 1115-1126 (2017) - [j607]Wei Huang
Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design. IEEE Trans. Fuzzy Syst. 25(5): 1329-1341 (2017) - [j606]Xingchen Hu, Witold Pedrycz
Granular Fuzzy Rule-Based Models: A Study in a Comprehensive Evaluation and Construction of Fuzzy Models. IEEE Trans. Fuzzy Syst. 25(5): 1342-1355 (2017) - [j605]Rafik A. Aliev, Witold Pedrycz
Approximate Reasoning on a Basis of Z-Number-Valued If-Then Rules. IEEE Trans. Fuzzy Syst. 25(6): 1589-1600 (2017) - [j604]Hua Zuo
Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 25(6): 1795-1807 (2017) - [j603]Decui Liang, Witold Pedrycz, Dun Liu
Determining Three-Way Decisions With Decision-Theoretic Rough Sets Using a Relative Value Approach. IEEE Trans. Syst. Man Cybern. Syst. 47(8): 1785-1799 (2017) - [c231]Jun Zhao, Chunyang Sheng, Wei Wang, Witold Pedrycz, Quanli Liu:
Data-based predictive optimization for by product gas system in steel industry. CASE 2017: 87 - [c230]Yuanzhuo Qu, Jie Han, Bruce F. Cockburn, Witold Pedrycz, Yue Zhang, Weisheng Zhao:
A true random number generator based on parallel STT-MTJs. DATE 2017: 606-609 - [c229]Hua Zuo
Fuzzy rule-based transfer learning for label space adaptation. FUZZ-IEEE 2017: 1-6 - [c228]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
An Evaluation of Fuzzy Measure for Face Recognition. ICAISC (1) 2017: 668-676 - [c227]Mario G. C. A. Cimino, Federico Galatolo
Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy. ICPRAM 2017: 731-737 - [c226]Jaehoon Cha, Sanghyuk Lee, Kyeong Soo Kim
On the design of similarity measures based on fuzzy integral. IFSA-SCIS 2017: 1-6 - [c225]Tomasz Talaska
Hardware implementation of the particle swarm optimization algorithm. MIXDES 2017: 521-526 - [c224]Francisco Javier Cabrerizo
An improvement of multiplicative consistency of reciprocal preference relations: A framework of granular computing. SMC 2017: 1262-1267 - [c223]Majed M. Alateeq
Analysis of optimization algorithms in automated test pattern generation for sequential circuits. SMC 2017: 1834-1839 - [e28]Shadi Ibrahim, Kim-Kwang Raymond Choo, Zheng Yan, Witold Pedrycz:
Algorithms and Architectures for Parallel Processing - 17th International Conference, ICA3PP 2017, Helsinki, Finland, August 21-23, 2017, Proceedings. Lecture Notes in Computer Science 10393, Springer 2017, ISBN 978-3-319-65481-2 [contents] - [e27]Alfredo Petrosino, Vincenzo Loia, Witold Pedrycz:
Fuzzy Logic and Soft Computing Applications - 11th International Workshop, WILF 2016, Naples, Italy, December 19-21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10147, 2017, ISBN 978-3-319-52961-5 [contents] - [i8]Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz:
Aggregation of Classifiers: A Justifiable Information Granularity Approach. CoRR abs/1703.05411 (2017) - [i7]Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer:
Evolving Ensemble Fuzzy Classifier. CoRR abs/1705.06460 (2017) - [i6]Mahardhika Pratama, Eric Dimla, Edwin Lughofer, Witold Pedrycz, Tegoeh Tjahjowidodo:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. CoRR abs/1711.01843 (2017) - 2016
- [j602]Wladyslaw Homenda
Multicriteria decision making inspired by human cognitive processes. Appl. Math. Comput. 290: 392-411 (2016) - [j601]Ham Nguyen, Bay Vo, Minh Nguyen, Witold Pedrycz:
An efficient algorithm for mining frequent weighted itemsets using interval word segments. Appl. Intell. 45(4): 1008-1020 (2016) - [j600]Jindong Qin, Xinwang Liu
Frank aggregation operators and their application to hesitant fuzzy multiple attribute decision making. Appl. Soft Comput. 41: 428-452 (2016) - [j599]Wei Lu, Liyong Zhang, Witold Pedrycz, Jianhua Yang, Xiaodong Liu:
The granular extension of Sugeno-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series. Appl. Soft Comput. 42: 38-52 (2016) - [j598]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Optimal allocation of information granularity in system modeling through the maximization of information specificity: A development of granular input space. Appl. Soft Comput. 42: 410-422 (2016) - [j597]Chunfu Zhong, Witold Pedrycz, Dan Wang, Lina Li, Zhiwu Li:
Granular data imputation: A framework of Granular Computing. Appl. Soft Comput. 46: 307-316 (2016) - [j596]Xiaoyang Zhou, Witold Pedrycz, Yunxin Kuang, Zhe Zhang:
Type-2 fuzzy multi-objective DEA model: An application to sustainable supplier evaluation. Appl. Soft Comput. 46: 424-440 (2016) - [j595]Xiao Wang, Fusheng Yu, Witold Pedrycz:
An area-based shape distance measure of time series. Appl. Soft Comput. 48: 650-659 (2016) - [j594]Yao Ouyang
A new model for intuitionistic fuzzy multi-attributes decision making. Eur. J. Oper. Res. 249(2): 677-682 (2016) - [j593]Jeremy Kerr-Wilson
Design of rule-based models through information granulation. Expert Syst. Appl. 46: 274-285 (2016) - [j592]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo:
Development of autofocusing algorithm based on fuzzy transforms. Fuzzy Sets Syst. 288: 129-144 (2016) - [j591]Sung-Kwun Oh, Sung-Hoon Yoo, Witold Pedrycz:
A comparative study of feature extraction methods and their application to P-RBF NNs in face recognition problem. Fuzzy Sets Syst. 305: 131-148 (2016) - [j590]Jindong Qin, Xinwang Liu
Multi-attribute group decision making based on Choquet integral under interval-valued intuitionistic fuzzy environment. Int. J. Comput. Intell. Syst. 9(1): 133-152 (2016) - [j589]Rafael Alejandro Espín Andrade
An Interpretable Logical Theory: The case of Compensatory Fuzzy Logic. Int. J. Comput. Intell. Syst. 9(4): 612-626 (2016) - [j588]Witold Pedrycz:
From Fuzzy Models to Granular Fuzzy Models. Int. J. Comput. Intell. Syst. 9(sup1): 35-42 (2016) - [j587]Jun Hu, Witold Pedrycz, Guoyin Wang
A roughness measure of fuzzy sets from the perspective of distance. Int. J. Gen. Syst. 45(3): 352-367 (2016) - [j586]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz:
Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis. Int. J. Gen. Syst. 45(4): 434-454 (2016) - [j585]Liyong Zhang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong, Lu Wang:
A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value. Int. J. Intell. Syst. 31(4): 297-313 (2016) - [j584]Chunfu Zhong, Witold Pedrycz, Zhiwu Li, Dan Wang, Lina Li:
Fuzzy associative memories: A design through fuzzy clustering. Neurocomputing 173: 1154-1162 (2016) - [j583]Rafik A. Aliev, Witold Pedrycz, Vladik Kreinovich, Oleg H. Huseynov
The general theory of decisions. Inf. Sci. 327: 125-148 (2016) - [j582]Xiujuan Lei, Fei Wang
Protein complex identification through Markov clustering with firefly algorithm on dynamic protein-protein interaction networks. Inf. Sci. 329: 303-316 (2016) - [j581]Petr Ekel
Multiobjective and multiattribute decision making in a fuzzy environment and their power engineering applications. Inf. Sci. 361-362: 100-119 (2016) - [j580]Yanni Wang, Yaping Dai, Yu-Wang Chen
An Interpretability-Accuracy Tradeoff in Learning Parameters of Intuitionistic Fuzzy Rule-Based Systems. J. Adv. Comput. Intell. Intell. Informatics 20(5): 773-787 (2016) - [j579]Caihui Liu, Witold Pedrycz:
Covering-based multi-granulation fuzzy rough sets. J. Intell. Fuzzy Syst. 30(1): 303-318 (2016) - [j578]Fenghuan Li, Dequan Zheng, Tiejun Zhao, Witold Pedrycz:
A novel approach for anomaly detection in data streams: Fuzzy-statistical detection mode. J. Intell. Fuzzy Syst. 30(5): 2611-2622 (2016) - [j577]Rami Al-Hmouz
Models of time series with time granulation. Knowl. Inf. Syst. 48(3): 561-580 (2016) - [j576]Jun Hu
Rough sets in distributed decision information systems. Knowl. Based Syst. 94: 13-22 (2016) - [j575]Liyong Zhang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong:
Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values. Knowl. Based Syst. 99: 51-70 (2016) - [j574]Xin Wang, Witold Pedrycz, Adam Gacek
From numeric data to information granules: A design through clustering and the principle of justifiable granularity. Knowl. Based Syst. 101: 100-113 (2016) - [j573]Dang Nguyen
Efficient mining of class association rules with the itemset constraint. Knowl. Based Syst. 103: 73-88 (2016) - [j572]Jaroslaw Protasiewicz
A recommender system of reviewers and experts in reviewing problems. Knowl. Based Syst. 106: 164-178 (2016) - [j571]Van Nha Pham, Long Thanh Ngo
Interval-valued fuzzy set approach to fuzzy co-clustering for data classification. Knowl. Based Syst. 107: 1-13 (2016) - [j570]Feng Feng
Soft set based association rule mining. Knowl. Based Syst. 111: 268-282 (2016) - [j569]Ladislav Zjavka, Witold Pedrycz:
Constructing general partial differential equations using polynomial and neural networks. Neural Networks 73: 58-69 (2016) - [j568]Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz:
Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection. Pattern Recognit. 53: 87-101 (2016) - [j567]Wing W. Y. Ng
Dual autoencoders features for imbalance classification problem. Pattern Recognit. 60: 875-889 (2016) - [j566]Dan Wang, Witold Pedrycz, Zhiwu Li:
Design of granular interval-valued information granules with the use of the principle of justifiable granularity and their applications to system modeling of higher type. Soft Comput. 20(6): 2119-2134 (2016) - [j565]Jeonghwan Gwak, Moongu Jeon, Witold Pedrycz:
Bolstering efficient SSGAs based on an ensemble of probabilistic variable-wise crossover strategies. Soft Comput. 20(6): 2149-2176 (2016) - [j564]Ayaz Isazadeh, Farnaz Mahan
MFlexDT: multi flexible fuzzy decision tree for data stream classification. Soft Comput. 20(9): 3719-3733 (2016) - [j563]Shun-Feng Su, Witold Pedrycz, Tzung-Pei Hong
Guest Editorial Special Issue on Granular/Symbolic Data Processing. IEEE Trans. Cybern. 46(2): 342-343 (2016) - [j562]Jun Zhao, Zhongyang Han, Witold Pedrycz, Wei Wang:
Granular Model of Long-Term Prediction for Energy System in Steel Industry. IEEE Trans. Cybern. 46(2): 388-400 (2016) - [j561]Shuang An, Qinghua Hu
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. IEEE Trans. Cybern. 46(12): 3073-3085 (2016) - [j560]Witold Pedrycz, Agnieszka Jastrzebska, Wladyslaw Homenda:
Design of Fuzzy Cognitive Maps for Modeling Time Series. IEEE Trans. Fuzzy Syst. 24(1): 120-130 (2016) - [j559]Witold Pedrycz, Xianmin Wang:
Designing Fuzzy Sets With the Use of the Parametric Principle of Justifiable Granularity. IEEE Trans. Fuzzy Syst. 24(2): 489-496 (2016) - [j558]Lorenzo Livi, Hooman Tahayori, Antonello Rizzi
Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices. IEEE Trans. Fuzzy Syst. 24(5): 1022-1034 (2016) - [j557]Jiandong Zhou
Mean-Semi-Entropy Models of Fuzzy Portfolio Selection. IEEE Trans. Fuzzy Syst. 24(6): 1627-1636 (2016) - [j556]Tomasz Talaska
Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology. IEEE Trans. Neural Networks Learn. Syst. 27(3): 661-673 (2016) - [j555]Guohua Wu
Coordinated Planning of Heterogeneous Earth Observation Resources. IEEE Trans. Syst. Man Cybern. Syst. 46(1): 109-125 (2016) - [c222]Trong Hop Dang, Long Thanh Ngo, Witold Pedrycz:
Multiple Kernel Based Collaborative Fuzzy Clustering Algorithm. ACIIDS (1) 2016: 585-594 - [c221]Xiubin Zhu, Witold Pedrycz, ZhiWu Li:
Granular description of data: Building information granules with the aid of the principle of justifiable granularity. FUZZ-IEEE 2016: 969-976 - [c220]Adam Kiersztyn, Pawel Karczmarek, Michal Dolecki, Witold Pedrycz:
Linguistic descriptors and fuzzy sets in face recognition realized by humans. FUZZ-IEEE 2016: 1120-1126 - [c219]Myungwon Lee, Keun-Chang Kwak, Witold Pedrycz:
An expansion of local Granular Models in the design of incremental model. FUZZ-IEEE 2016: 1664-1670 - [c218]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki:
Linguistic Descriptors and Analytic Hierarchy Process in Face Recognition Realized by Humans. ICAISC (1) 2016: 584-596 - [c217]Vladimir Ivanov
Assessing the process of an Eastern European software SME using systemic analysis, GQM, and reliability growth models: a case study. ICSE (Companion Volume) 2016: 251-259 - [c216]Luigi Benedicenti, Franco Raffaele Cotugno, Paolo Ciancarini
Applying scrum to the army: a case study. ICSE (Companion Volume) 2016: 725-727 - [c215]Ladislav Zjavka, Václav Snásel, Varun Kumar Ojha
A substitution of the general partial differential equation with extended polynomial networks. IJCNN 2016: 4819-4826 - [c214]Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Face recognition by humans performed on basis of linguistic descriptors and neural networks. IJCNN 2016: 5135-5140 - [c213]Witold Pedrycz, Joana Iljazi, Alberto Sillitti, Giancarlo Succi:
Prediction of the Successful Completion of Requirements in Software Development - An Initial Study. KES-AMSTA 2016: 261-269 - [c212]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization. SCIS&ISIS 2016: 769-773 - [c211]Hung Quoc Truong, Long Thanh Ngo, Witold Pedrycz:
Advanced Fuzzy Possibilistic C-means Clustering based on Granular Computing. SMC 2016: 2576-2581 - [c210]Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Utility functions as aggregation functions in face recognition. SSCI 2016: 1-6 - [c209]Witold Pedrycz:
Algorithmic Developments of Information Granules of Higher Type and Higher Order and Their Applications. WILF 2016: 27-41 - [p25]Witold Pedrycz, Alberto Sillitti, Giancarlo Succi
The Role of Computational Intelligence in Quantitative Software Engineering. Computational Intelligence and Quantitative Software Engineering 2016: 1-12 - [p24]Witold Pedrycz, Alberto Sillitti, Giancarlo Succi
Computational Intelligence: An Introduction. Computational Intelligence and Quantitative Software Engineering 2016: 13-31 - [e26]Witold Pedrycz, Giancarlo Succi
Computational Intelligence and Quantitative Software Engineering. Studies in Computational Intelligence 617, Springer 2016, ISBN 978-3-319-25962-8 [contents] - [e25]Witold Pedrycz, Shyi-Ming Chen:
Sentiment Analysis and Ontology Engineering - An Environment of Computational Intelligence. Studies in Computational Intelligence 639, Springer 2016, ISBN 978-3-319-30317-8 [contents] - 2015
- [j554]Adam Gacek
Corrigendum to "A characterization of electrocardiogram signals through optimal allocation of information granularity" [Artif. Intell. Med. 54(2012) 125-134]. Artif. Intell. Medicine 64(3): 227 (2015) - [j553]Xiaodong Liu, Xianchang Wang, Witold Pedrycz:
Fuzzy clustering with semantic interpretation. Appl. Soft Comput. 26: 21-30 (2015) - [j552]Witold Pedrycz:
Editorial. Appl. Soft Comput. 27: 489 (2015) - [j551]Decui Liang, Witold Pedrycz, Dun Liu
Three-way decisions based on decision-theoretic rough sets under linguistic assessment with the aid of group decision making. Appl. Soft Comput. 29: 256-269 (2015) - [j550]Paulo André Sperandio Giacomin, Elder Moreira Hemerly, Witold Pedrycz:
A probabilistic approach for designing nonlinear optimal robust tracking controllers for unmanned aerial vehicles. Appl. Soft Comput. 34: 26-38 (2015) - [j549]Guohua Wu
A variable reduction strategy for evolutionary algorithms handling equality constraints. Appl. Soft Comput. 37: 774-786 (2015) - [j548]Ahmad Muqeem Sheri, Aasim Rafique, Witold Pedrycz, Moongu Jeon
Contrastive divergence for memristor-based restricted Boltzmann machine. Eng. Appl. Artif. Intell. 37: 336-342 (2015) - [j547]Hesam Izakian, Witold Pedrycz, Iqbal Jamal:
Fuzzy clustering of time series data using dynamic time warping distance. Eng. Appl. Artif. Intell. 39: 235-244 (2015) - [j546]Weina Wang, Witold Pedrycz, Xiaodong Liu:
Time series long-term forecasting model based on information granules and fuzzy clustering. Eng. Appl. Artif. Intell. 41: 17-24 (2015) - [j545]Barbara Russo
Mining system logs to learn error predictors: a case study of a telemetry system. Empir. Softw. Eng. 20(4): 879-927 (2015) - [j544]Jiqiang Chen, Witold Pedrycz, Minghu Ha, Litao Ma:
Set-valued samples based support vector regression and its applications. Expert Syst. Appl. 42(5): 2502-2509 (2015) - [j543]Abdullah Saeed Balamash
An expansion of fuzzy information granules through successive refinements of their information content and their use to system modeling. Expert Syst. Appl. 42(6): 2985-2997 (2015) - [j542]Rami Al-Hmouz
Description and prediction of time series: A general framework of Granular Computing. Expert Syst. Appl. 42(10): 4830-4839 (2015) - [j541]Edy Portmann
FORA - A fuzzy set based framework for online reputation management. Fuzzy Sets Syst. 269: 90-114 (2015) - [j540]Witold Pedrycz:
From fuzzy data analysis and fuzzy regression to granular fuzzy data analysis. Fuzzy Sets Syst. 274: 12-17 (2015) - [j539]Dzung Dinh Nguyen, Long Thanh Ngo
Towards hybrid clustering approach to data classification: Multiple kernels based interval-valued Fuzzy C-Means algorithms. Fuzzy Sets Syst. 279: 17-39 (2015) - [j538]Long Thanh Ngo, Dinh Sinh Mai
Semi-supervising Interval Type-2 Fuzzy C-Means clustering with spatial information for multi-spectral satellite image classification and change detection. Comput. Geosci. 83: 1-16 (2015) - [j537]Witold Pedrycz:
Granular fuzzy rule-based architectures: Pursuing analysis and design in the framework of granular computing. Intell. Decis. Technol. 9(4): 321-330 (2015) - [j536]Wei Lu, Xueyan Chen, Witold Pedrycz, Xiaodong Liu, Jianhua Yang:
Using interval information granules to improve forecasting in fuzzy time series. Int. J. Approx. Reason. 57: 1-18 (2015) - [j535]Orion Fausto Reyes-Galaviz, Witold Pedrycz:
Granular fuzzy models: Analysis, design, and evaluation. Int. J. Approx. Reason. 64: 1-19 (2015) - [j534]Jinbo Li, Witold Pedrycz, Xianmin Wang:
A rule-based development of incremental models. Int. J. Approx. Reason. 64: 20-38 (2015) - [j533]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Comparative analysis of logic operators: A perspective of statistical testing and granular computing. Int. J. Approx. Reason. 66: 73-90 (2015) - [j532]Rafael Alejandro Espín Andrade
Archimedean-Compensatory Fuzzy Logic Systems. Int. J. Comput. Intell. Syst. 8(sup2): 54-62 (2015) - [j531]Witold Pedrycz:
Concepts and Design Aspects of Granular Models of Type-1 and Type-2. Int. J. Fuzzy Log. Intell. Syst. 15(2): 87-95 (2015) - [j530]Jindong Qin, Xinwang Liu
Hesitant Fuzzy Maclaurin Symmetric Mean Operators and Its Application to Multiple-Attribute Decision Making. Int. J. Fuzzy Syst. 17(4): 509-520 (2015) - [j529]Wei Lu, Liyong Zhang, Xiaodong Liu, Jianhua Yang, Witold Pedrycz:
A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights. Int. J. Intell. Syst. 30(2): 81-98 (2015) - [j528]Orion Fausto Reyes-Galaviz, Witold Pedrycz:
Granular fuzzy modeling with evolving hyperboxes in multi-dimensional space of numerical data. Neurocomputing 168: 240-253 (2015) - [j527]Ruijun Dong, Witold Pedrycz:
Approximation grid evaluation-based PID control in cascade with nonlinear gain. J. Frankl. Inst. 352(10): 4279-4296 (2015) - [j526]Shiping Wang, Witold Pedrycz, Qingxin Zhu, William Zhu
Unsupervised feature selection via maximum projection and minimum redundancy. Knowl. Based Syst. 75: 19-29 (2015) - [j525]Witold Pedrycz, Rami Al-Hmouz
Designing granular fuzzy models: A hierarchical approach to fuzzy modeling. Knowl. Based Syst. 76: 42-52 (2015) - [j524]Witold Pedrycz, Giancarlo Succi
Data description: A general framework of information granules. Knowl. Based Syst. 80: 98-108 (2015) - [j523]Jindong Qin, Xinwang Liu
An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment. Knowl. Based Syst. 86: 116-130 (2015) - [j522]Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung, Witold Pedrycz, Wing W. Y. Ng
Quantification of side-channel information leaks based on data complexity measures for web browsing. Int. J. Mach. Learn. Cybern. 6(4): 607-619 (2015) - [j521]Feng Feng, Witold Pedrycz:
On Scalar Products and Decomposition Theorems of Fuzzy Soft Sets. J. Multiple Valued Log. Soft Comput. 25(1): 45-80 (2015) - [j520]Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz:
Optimized face recognition algorithm using radial basis function neural networks and its practical applications. Neural Networks 69: 111-125 (2015) - [j519]Shiping Wang, Witold Pedrycz, Qingxin Zhu, William Zhu
Subspace learning for unsupervised feature selection via matrix factorization. Pattern Recognit. 48(1): 10-19 (2015) - [j518]Xianchang Wang, Xiaodong Liu, Witold Pedrycz, Lishi Zhang
Fuzzy rule based decision trees. Pattern Recognit. 48(1): 50-59 (2015) - [j517]Witold Pedrycz, Adam Gacek
Clustering in augmented space of granular constraints: A study in knowledge-based clustering. Pattern Recognit. Lett. 67: 122-129 (2015) - [j516]Rami Al-Hmouz
Description and classification of granular time series. Soft Comput. 19(4): 1003-1017 (2015) - [j515]Witold Pedrycz, Rami Al-Hmouz
Distributed proximity-based granular clustering: towards a development of global structural relationships in data. Soft Comput. 19(10): 2751-2767 (2015) - [j514]Adam Gacek
Erratum to: Description, analysis, and classification of biomedical signals: a computational intelligence approach. Soft Comput. 19(10): 3029 (2015) - [j513]Eric Chalmers, Witold Pedrycz, Edmond Lou:
Human Experts' and a Fuzzy Model's Predictions of Outcomes of Scoliosis Treatment: A Comparative Analysis. IEEE Trans. Biomed. Eng. 62(3): 1001-1007 (2015) - [j512]Witold Pedrycz, Jie Lu
Guest Editorial Web-Based Intelligent Support Systems - Preface to the Special Section. IEEE Trans. Fuzzy Syst. 23(1): 1-2 (2015) - [j511]Adam Gacek
Clustering Granular Data and Their Characterization With Information Granules of Higher Type. IEEE Trans. Fuzzy Syst. 23(4): 850-860 (2015) - [j510]Shuming Wang, Witold Pedrycz:
Robust Granular Optimization: A Structured Approach for Optimization Under Integrated Uncertainty. IEEE Trans. Fuzzy Syst. 23(5): 1372-1386 (2015) - [j509]Xizhao Wang, Hong-Jie Xing, Yan Li, Qiang Hua, Chun-Ru Dong, Witold Pedrycz:
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. IEEE Trans. Fuzzy Syst. 23(5): 1638-1654 (2015) - [j508]Vahid Behbood, Jie Lu
Multistep Fuzzy Bridged Refinement Domain Adaptation Algorithm and Its Application to Bank Failure Prediction. IEEE Trans. Fuzzy Syst. 23(6): 1917-1935 (2015) - [j507]Witold Pedrycz, Rami Al-Hmouz
Hierarchical Granular Clustering: An Emergence of Information Granules of Higher Type and Higher Order. IEEE Trans. Fuzzy Syst. 23(6): 2270-2283 (2015) - [j506]Giovanni Acampora
A Competent Memetic Algorithm for Learning Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 23(6): 2397-2411 (2015) - [j505]Yongsheng Ding, Lijun Cheng, Witold Pedrycz, Kuangrong Hao
Global Nonlinear Kernel Prediction for Large Data Set With a Particle Swarm-Optimized Interval Support Vector Regression. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2521-2534 (2015) - [j504]Lorenzo Livi
Entropic One-Class Classifiers. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3187-3200 (2015) - [c208]Jakub Ciecierski, Bartomiej Dybisz, Agnieszka Jastrzebska, Witold Pedrycz:
A Geometrical Approach to Rejecting Option in Pattern Recognition Problem. CISIM 2015: 231-243 - [c207]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Przemyslaw Rutka
Chain Code-Based Local Descriptor for Face Recognition. CORES 2015: 307-316 - [c206]Marta Kolasa
Problem of efficient initialization of large Self-Organizing Maps implemented in the CMOS technology. CYBCONF 2015: 36-41 - [c205]Michael Shoniker, Bruce F. Cockburn, Jie Han, Witold Pedrycz:
Minimizing the number of process corner simulations during design verification. DATE 2015: 289-292 - [c204]Majid RobatJazi, Marek Z. Reformat
LORI: Linguistically Oriented RDF Interface for Querying Fuzzy Temporal Data. FQAS 2015: 337-352 - [c203]Trong Hop Dang, Long Thanh Ngo, Witold Pedrycz:
Interval Type-2 fuzzy C-Means approach to collaborative clustering. FUZZ-IEEE 2015: 1-7 - [c202]Jindong Qin, Junfeng Chu, Xinwang Liu
Approaches to interval type-2 fuzzy multiple attribute group decision making based on grey incidence analysis and FTP utility function. FUZZ-IEEE 2015: 1-8 - [c201]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level. ICAART (2) 2015: 90-99 - [c200]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Time Series Modelling with Fuzzy Cognitive Maps - Study on an Alternative Concept's Representation Method. ICAART (2) 2015: 406-413 - [c199]Piotr Prokopowicz
The Directed Compatibility Between Ordered Fuzzy Numbers - A Base Tool for a Direction Sensitive Fuzzy Information Processing. ICAISC (1) 2015: 249-259 - [c198]Edy Portmann
Knowledge Representation through Graphs. SCSE 2015: 245-248 - [c197]Pawel Karczmarek, Adam Kiersztyn, Przemyslaw Rutka
Linguistic descriptors in face recognition: A literature survey and the perspectives of future development. SPA 2015: 98-103 - [c196]Majid RobatJazi, Marek Z. Reformat
Querying RDF Data with Imprecise Time Phrases. WI-IAT (1) 2015: 445-450 - [p23]Janusz Kacprzyk
Introduction. Handbook of Computational Intelligence 2015: 1-4 - [p22]Witold Pedrycz, Kuwen Li, Marek Z. Reformat
Evolutionary Reduction of Fuzzy Rule-Based Models. Fifty Years of Fuzzy Logic and its Applications 2015: 459-481 - [e24]Janusz Kacprzyk
Springer Handbook of Computational Intelligence. Springer Handbooks, Springer 2015, ISBN 978-3-662-43504-5 [contents] - [i5]Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz:
Local-Structure Adaptive Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection. CoRR abs/1506.01060 (2015) - 2014
- [b8]Animesh Adhikari, Jhimli Adhikari
Data Analysis and Pattern Recognition in Multiple Databases. Intelligent Systems Reference Library 61, Springer 2014, ISBN 978-3-319-03409-6, pp. 1-236 - [j503]Mohammad Reza Rajati, Hamid Khaloozadeh
Fuzzy logic and self-referential reasoning: a comparative study with some new concepts. Artif. Intell. Rev. 41(3): 331-357 (2014) - [j502]Krzysztof Zaniewski, Witold Pedrycz:
A hybrid optimization approach to conformance testing of finite automata. Appl. Soft Comput. 23: 91-103 (2014) - [j501]Witold Pedrycz:
Allocation of information granularity in optimization and decision-making models: Towards building the foundations of Granular Computing. Eur. J. Oper. Res. 232(1): 137-145 (2014) - [j500]Ying Yu, Witold Pedrycz, Duoqian Miao:
Multi-label classification by exploiting label correlations. Expert Syst. Appl. 41(6): 2989-3004 (2014) - [j499]Lizhu Wang, Xiaodong Liu, Witold Pedrycz, Yongyun Shao:
Determination of temporal information granules to improve forecasting in fuzzy time series. Expert Syst. Appl. 41(6): 3134-3142 (2014) - [j498]Wei Lu, Witold Pedrycz, Xiaodong Liu, Jianhua Yang, Peng Li:
The modeling of time series based on fuzzy information granules. Expert Syst. Appl. 41(8): 3799-3808 (2014) - [j497]Liyong Zhang, Witold Pedrycz, Wei Lu
An interval weighed fuzzy c-means clustering by genetically guided alternating optimization. Expert Syst. Appl. 41(13): 5960-5971 (2014) - [j496]Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn:
A design of granular fuzzy classifier. Expert Syst. Appl. 41(15): 6786-6795 (2014) - [j495]Guohua Wu
Superior solution guided particle swarm optimization combined with local search techniques. Expert Syst. Appl. 41(16): 7536-7548 (2014) - [j494]Ayaz Isazadeh, Witold Pedrycz, Farnaz Mahan
ECA rule learning in dynamic environments. Expert Syst. Appl. 41(17): 7847-7857 (2014) - [j493]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Kisung Seo:
Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization. Fuzzy Sets Syst. 237: 96-117 (2014) - [j492]Julwan Hendry Purba
A fuzzy reliability assessment of basic events of fault trees through qualitative data processing. Fuzzy Sets Syst. 243: 50-69 (2014) - [j491]Francisco Javier Cabrerizo
Building consensus in group decision making with an allocation of information granularity. Fuzzy Sets Syst. 255: 115-127 (2014) - [j490]Cat-Ho Nguyen
A construction of sound semantic linguistic scales using 4-tuple representation of term semantics. Int. J. Approx. Reason. 55(3): 763-786 (2014) - [j489]Giovanni Acampora
Efficient modeling of MIMO systems through Timed Automata based Neuro-Fuzzy Inference Engine. Int. J. Approx. Reason. 55(6): 1336-1356 (2014) - [j488]Rafik A. Aliev, Witold Pedrycz, Lala M. Zeinalova
Decision Making with Second-Order Imprecise Probabilities. Int. J. Intell. Syst. 29(2): 137-160 (2014) - [j487]Hesam Izakian, Witold Pedrycz:
Agreement-based fuzzy C-means for clustering data with blocks of features. Neurocomputing 127: 266-280 (2014) - [j486]Jeong-min Yu, Moongu Jeon, Witold Pedrycz:
Weighted feature trajectories and concatenated bag-of-features for action recognition. Neurocomputing 131: 200-207 (2014) - [j485]Enrique Herrera-Viedma
A review of soft consensus models in a fuzzy environment. Inf. Fusion 17: 4-13 (2014) - [j484]Witold Pedrycz, Mingli Song:
A granulation of linguistic information in AHP decision-making problems. Inf. Fusion 17: 93-101 (2014) - [j483]Mario G. C. A. Cimino
Genetic interval neural networks for granular data regression. Inf. Sci. 257: 313-330 (2014) - [j482]Jinho Park, Moongu Jeon
Spectral clustering with physical intuition on spring-mass dynamics. J. Frankl. Inst. 351(6): 3245-3268 (2014) - [j481]Byoung-Jun Park, Wook-Dong Kim, Sung-Kwun Oh, Witold Pedrycz:
Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization. Knowl. Inf. Syst. 39(1): 207-240 (2014) - [j480]Witold Pedrycz, Rami Al-Hmouz
Building granular fuzzy decision support systems. Knowl. Based Syst. 58: 3-10 (2014) - [j479]Wei Lu, Jianhua Yang, Xiaodong Liu, Witold Pedrycz:
The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering. Knowl. Based Syst. 70: 242-255 (2014) - [j478]Jiqang Chen, Witold Pedrycz, Litao Ma, Chao Wang:
A new information security risk analysis method based on membership degree. Kybernetes 43(5): 686-698 (2014) - [j477]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs). Neural Networks 60: 166-181 (2014) - [j476]De-Qiang Li, Witold Pedrycz:
A central profile-based 3D face pose estimation. Pattern Recognit. 47(2): 525-534 (2014) - [j475]Pawel Karczmarek, Witold Pedrycz, Marek Z. Reformat
A study in facial regions saliency: a fuzzy measure approach. Soft Comput. 18(2): 379-391 (2014) - [j474]Kairui Cao, Xiao Zhi Gao, Thanos Vasilakos, Witold Pedrycz:
Analysis of stability and robust stability of polynomial fuzzy model-based control systems using a sum-of-squares approach. Soft Comput. 18(3): 433-442 (2014) - [j473]Aranzazu Jurio
New measures of homogeneity for image processing: an application to fingerprint segmentation. Soft Comput. 18(6): 1055-1066 (2014) - [j472]Witold Pedrycz, Wei Lu, Xiaodong Liu, Wei Wang, Lizhong Wang:
Human-centric analysis and interpretation of time series: a perspective of granular computing. Soft Comput. 18(12): 2397-2411 (2014) - [j471]Hongyun Zhang, Witold Pedrycz, Duoqian Miao, Zhihua Wei:
From Principal Curves to Granular Principal Curves. IEEE Trans. Cybern. 44(6): 748-760 (2014) - [j470]Shuming Wang, Junzo Watada, Witold Pedrycz:
Granular Robust Mean-CVaR Feedstock Flow Planning for Waste-to-Energy Systems Under Integrated Uncertainty. IEEE Trans. Cybern. 44(10): 1846-1857 (2014) - [j469]Xin Xu
A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning. IEEE Trans. Cybern. 44(12): 2613-2625 (2014) - [j468]Sanghamitra Bandyopadhyay, Ujjwal Maulik
Guest Editorial: Special Issue on Advances in Multiobjective Evolutionary Algorithms for Data Mining. IEEE Trans. Evol. Comput. 18(1): 1-3 (2014) - [j467]Witold Pedrycz, Wladyslaw Homenda:
From Fuzzy Cognitive Maps to Granular Cognitive Maps. IEEE Trans. Fuzzy Syst. 22(4): 859-869 (2014) - [j466]Witold Pedrycz, Hesam Izakian:
Cluster-Centric Fuzzy Modeling. IEEE Trans. Fuzzy Syst. 22(6): 1585-1597 (2014) - [j465]Hesam Izakian, Witold Pedrycz:
Anomaly Detection and Characterization in Spatial Time Series Data: A Cluster-Centric Approach. IEEE Trans. Fuzzy Syst. 22(6): 1612-1624 (2014) - [c195]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Joining Concept's Based Fuzzy Cognitive Map Model with Moving Window Technique for Time Series Modeling. CISIM 2014: 397-408 - [c194]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Time Series Modeling with Fuzzy Cognitive Maps: Simplification Strategies - The Case of a Posteriori Removal of Nodes and Weights. CISIM 2014: 409-420 - [c193]Marta Kolasa, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps. ESANN 2014 - [c192]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash
From data to granular data and granular classifiers. FUZZ-IEEE 2014: 432-438 - [c191]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Modeling time series with fuzzy cognitive maps. FUZZ-IEEE 2014: 2055-2062 - [c190]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Granular Cognitive Maps reconstruction. FUZZ-IEEE 2014: 2572-2579 - [c189]Gabriella Pasi
Introduction to Information Filtering and Retrieval: Soft Computing-Based Approaches Minitrack. HICSS 2014: 905 - [c188]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments. ICAART (1) 2014: 499-510 - [c187]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Granular Cognitive Map Reconstruction - Adjusting Granularity Parameters. ICEIS (2) 2014: 175-184 - [c186]Wladyslaw Homenda, Marcin Luckner, Witold Pedrycz:
Classification with rejection based on various SVM techniques. IJCNN 2014: 3480-3487 - [c185]Wladyslaw Homenda, Witold Pedrycz:
Linguistic Approach to Granular Cognitive Maps - User's Tool for Knowledge Accessing and Processing. IEEE Conf. on Intelligent Systems (1) 2014: 205-216 - [c184]Wladyslaw Homenda, Witold Pedrycz:
Automatic Data Understanding - A Linguistic Tool for Granular Cognitive Maps Designing. IEEE Conf. on Intelligent Systems (1) 2014: 217-228 - [c183]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Nodes Selection Criteria for Fuzzy Cognitive Maps Designed to Model Time Series. IEEE Conf. on Intelligent Systems (2) 2014: 859-870 - [c182]Francisco Javier Cabrerizo
A New Selection Process Based on Granular Computing for Group Decision Making Problems. SoMeT (Selected Papers) 2014: 13-24 - [c181]Francisco Javier Cabrerizo
Improving Consistency in Fuzzy Preference Relations with an Allocation of Information Granularity. SoMeT 2014: 194-205 - [p21]Edy Portmann
Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 89-105 - [e23]Xizhao Wang, Witold Pedrycz, Patrick P. K. Chan, Qiang He:
Machine Learning and Cybernetics - 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings. Communications in Computer and Information Science 481, Springer 2014, ISBN 978-3-662-45651-4 [contents] - [e22]Duoqian Miao, Witold Pedrycz, Dominik Slezak, Georg Peters, Qinghua Hu, Ruizhi Wang:
Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings. Lecture Notes in Computer Science 8818, Springer 2014, ISBN 978-3-319-11739-3 [contents] - [e21]Peijun Guo
Human-Centric Decision-Making Models for Social Sciences. Studies in Computational Intelligence 502, Springer 2014, ISBN 978-3-642-39306-8 [contents] - [e20]Witold Pedrycz, Shyi-Ming Chen:
Social Networks: A Framework of Computational Intelligence. Studies in Computational Intelligence 526, Springer 2014, ISBN 978-3-319-02992-4 [contents] - [e19]Oscar Castillo
Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence 547, Springer 2014, ISBN 978-3-319-05169-7 [contents] - [i4]Guohua Wu, Huilin Wang, Haifeng Li, Witold Pedrycz, Dishan Qiu, Manhao Ma, Jin Liu:
An adaptive Simulated Annealing-based satellite observation scheduling method combined with a dynamic task clustering strategy. CoRR abs/1401.6098 (2014) - [i3]Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz:
Entropic One-Class Classifier. CoRR abs/1407.7556 (2014) - 2013
- [j464]Witold Pedrycz, Wladyslaw Homenda:
Building the fundamentals of granular computing: A principle of justifiable granularity. Appl. Soft Comput. 13(10): 4209-4218 (2013) - [j463]Wei Huang, Sung-Kwun Oh, Zhaolu Guo, Witold Pedrycz:
A space search optimization algorithm with accelerated convergence strategies. Appl. Soft Comput. 13(12): 4659-4675 (2013) - [j462]Xiaodong Liu, Xinghua Feng, Witold Pedrycz:
Extraction of fuzzy rules from fuzzy decision trees: An axiomatic fuzzy sets (AFS) approach. Data Knowl. Eng. 84: 1-25 (2013) - [j461]Francisco Javier Cabrerizo
A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts. Eur. J. Oper. Res. 230(3): 624-633 (2013) - [j460]Sung-Kwun Oh, Sung-Hoon Yoo, Witold Pedrycz:
Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application. Expert Syst. Appl. 40(5): 1451-1466 (2013) - [j459]Michal Bereta
Analysis and design of rank-based classifiers. Expert Syst. Appl. 40(8): 3256-3265 (2013) - [j458]Lizhu Wang, Xiaodong Liu, Witold Pedrycz:
Effective intervals determined by information granules to improve forecasting in fuzzy time series. Expert Syst. Appl. 40(14): 5673-5679 (2013) - [j457]Rafik A. Aliev, Witold Pedrycz, Akif V. Alizadeh, Oleg H. Huseynov
Fuzzy optimality based decision making under imperfect information without utility. Fuzzy Optim. Decis. Mak. 12(4): 357-372 (2013) - [j456]Witold Pedrycz:
From Numeric to Granular Description and Interpretation of Information Granules. Fundam. Informaticae 127(1-4): 399-412 (2013) - [j455]Cat Ho Nguyen
A genetic design of linguistic terms for fuzzy rule based classifiers. Int. J. Approx. Reason. 54(1): 1-21 (2013) - [j454]Decui Liang, Dun Liu
Triangular fuzzy decision-theoretic rough sets. Int. J. Approx. Reason. 54(8): 1087-1106 (2013) - [j453]Ying Yu, Witold Pedrycz, Duoqian Miao:
Neighborhood rough sets based multi-label classification for automatic image annotation. Int. J. Approx. Reason. 54(9): 1373-1387 (2013) - [j452]Witold Pedrycz:
Associations Among Information Granules and Their Optimization in Granulation-Degranulation Mechanism of Granular Computing. Int. J. Fuzzy Log. Intell. Syst. 13(4): 245-253 (2013) - [j451]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov
Behavioral Decision Making with Combined States under Imperfect Information. Int. J. Inf. Technol. Decis. Mak. 12(3): 619- (2013) - [j450]Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park, Witold Pedrycz:
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. Neurocomputing 119: 292-307 (2013) - [j449]Witold Pedrycz:
Knowledge Management and Semantic Modeling: a Role of Information Granularity. Int. J. Softw. Eng. Knowl. Eng. 23(1): 5-12 (2013) - [j448]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz:
The design of polynomial function-based neural network predictors for detection of software defects. Inf. Sci. 229: 40-57 (2013) - [j447]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
A fuzzy time-dependent project scheduling problem. Inf. Sci. 246: 100-114 (2013) - [j446]Witold Pedrycz:
From logic descriptors to granular logic descriptors: a study in allocation of information granularity. J. Ambient Intell. Humaniz. Comput. 4(4): 411-419 (2013) - [j445]Michal Bereta
Local descriptors and similarity measures for frontal face recognition: A comparative analysis. J. Vis. Commun. Image Represent. 24(8): 1213-1231 (2013) - [j444]Sung-Kwun Oh, Ho-Sung Park, Wook-Dong Kim, Witold Pedrycz:
A new approach to radial basis function-based polynomial neural networks: analysis and design. Knowl. Inf. Syst. 36(1): 121-151 (2013) - [j443]Hongyun Zhang, Witold Pedrycz, Duoqian Miao, Caiming Zhong:
A global structure-based algorithm for detecting the principal graph from complex data. Pattern Recognit. 46(6): 1638-1647 (2013) - [j442]Michal Bereta
Local descriptors in application to the aging problem in face recognition. Pattern Recognit. 46(10): 2634-2646 (2013) - [j441]Can Gao
Rough subspace-based clustering ensemble for categorical data. Soft Comput. 17(9): 1643-1658 (2013) - [j440]Adam Gacek
Description, analysis, and classification of biomedical signals: a computational intelligence approach. Soft Comput. 17(9): 1659-1671 (2013) - [j439]JingTao Yao, Athanasios V. Vasilakos
Granular Computing: Perspectives and Challenges. IEEE Trans. Cybern. 43(6): 1977-1989 (2013) - [j438]Witold Pedrycz, Rami Al-Hmouz
The Design of Free Structure Granular Mappings: The Use of the Principle of Justifiable Granularity. IEEE Trans. Cybern. 43(6): 2105-2113 (2013) - [j437]Hesam Izakian, Witold Pedrycz, Iqbal Jamal:
Clustering Spatiotemporal Data: An Augmented Fuzzy C-Means. IEEE Trans. Fuzzy Syst. 21(5): 855-868 (2013) - [j436]Hooman Tahayori, Alireza Sadeghian, Witold Pedrycz:
Induction of Shadowed Sets Based on the Gradual Grade of Fuzziness. IEEE Trans. Fuzzy Syst. 21(5): 937-949 (2013) - [j435]Witold Pedrycz:
Proximity-Based Clustering: A Search for Structural Consistency in Data With Semantic Blocks of Features. IEEE Trans. Fuzzy Syst. 21(5): 978-982 (2013) - [j434]Mingli Song, Witold Pedrycz:
Granular Neural Networks: Concepts and Development Schemes. IEEE Trans. Neural Networks Learn. Syst. 24(4): 542-553 (2013) - [c180]Witold Pedrycz:
Da as a Flawless Organizer. A Tribute to Prof. Dr. Da Ruan 2013: 203 - [c179]Witold Pedrycz:
Fuzzy Sets: A Brief Retrospect and Beyond. On Fuzziness (2) 2013: 533-537 - [c178]Rami Al-Hmouz
Granular representation schemes of time series: A study in an optimal allocation of information granularity. FOCI 2013: 44-51 - [c177]Kimia Hassanzadeh, Marek Z. Reformat
T2R: System for Converting Textual Documents into RDF Triples. Web Intelligence/IAT Workshops 2013: 221-228 - [c176]Guohua Wu
A new granular particle swarm optimization variant for Granular optimization problems. IFSA/NAFIPS 2013: 24-28 - [c175]Ying Yu, Witold Pedrycz, Duoqian Miao, Hongyun Zhang:
Neighborhood Rough Sets based Multi-Label classification. IFSA/NAFIPS 2013: 86-90 - [c174]K. Krishna Mohan, Marek Z. Reformat
Interval-based analysis of BOCR (benefits, opportunities, costs and risks) models evaluated by multiple experts. IFSA/NAFIPS 2013: 244-250 - [c173]Orion Fausto Reyes-Galaviz, Witold Pedrycz:
Fuzzy relational structures: Learning alternatives for fuzzy modeling. IFSA/NAFIPS 2013: 374-379 - [c172]W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz:
Growing rule-based fuzzy model developed with the aid of fuzzy clustering. IFSA/NAFIPS 2013: 573-578 - [c171]Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz:
Design of face recognition algorithm realized with feature extraction from 2D-LDA and optimized polynomial-based RBF NNs. IFSA/NAFIPS 2013: 655-660 - [c170]Eric Chalmers, Witold Pedrycz, Edmond Lou:
Predicting the outcome of brace treatment for scoliosis using conditional fuzzy clustering. IFSA/NAFIPS 2013: 837-842 - [c169]Hongyun Zhang, Duoqian Miao, Witold Pedrycz:
Fuzzy granular principal curves algorithm for large data sets. IFSA/NAFIPS 2013: 956-961 - [c168]Abraham Assefa Tsehayae, Witold Pedrycz, Aminah Robinson Fayek:
Application of granular fuzzy modeling for abstracting labour productivity knowledge bases. IFSA/NAFIPS 2013: 1096-1101 - [c167]W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz:
A design of FCM-based interval type-2 fuzzy neural network classifier with the aid of PSO. IFSA/NAFIPS 2013: 1209-1214 - [c166]Wladyslaw Homenda, Witold Pedrycz:
Finite automata with imperfect information as tools for accumulating information. IFSA/NAFIPS 2013: 1360-1365 - [c165]Hesam Izakian, Witold Pedrycz:
Anomaly detection in time series data using a fuzzy c-means clustering. IFSA/NAFIPS 2013: 1513-1518 - [c164]Wladyslaw Homenda, Marcin Luckner, Witold Pedrycz:
Classification with Rejection: Concepts and Evaluations. KICSS 2013: 413-425 - [c163]Sharifah Sakinah Syed Ahmad
Fuzzy Rule-Based System through Granular Computing. SMC 2013: 800-805 - [c162]Dario Malchiodi, Witold Pedrycz:
Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering. WILF 2013: 52-59 - [p20]Ikno Kim, Junzo Watada, Witold Pedrycz:
DNA Rough-Set Computing in the Development of Decision Rule Reducts. Rough Sets and Intelligent Systems (1) 2013: 409-438 - [e18]Witold Pedrycz, Shyi-Ming Chen:
Time Series Analysis, Modeling and Applications - A Computational Intelligence Perspective. Intelligent Systems Reference Library 47, Springer 2013, ISBN 978-3-642-33438-2 [contents] - 2012
- [j433]Sharifah Sakinah Syed Ahmad, Witold Pedrycz:
Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization. Appl. Comput. Intell. Soft Comput. 2012: 347157:1-347157:21 (2012) - [j432]Nick J. Pizzi, Witold Pedrycz:
Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network. Adv. Fuzzy Syst. 2012: 920920:1-920920:7 (2012) - [j431]Heesung Lee
A new selective neural network ensemble with negative correlation. Appl. Intell. 37(4): 488-498 (2012) - [j430]Adam Gacek
A characterization of electrocardiogram signals through optimal allocation of information granularity. Artif. Intell. Medicine 54(2): 125-134 (2012) - [j429]Witold Pedrycz, Barbara Russo
Knowledge transfer in system modeling and its realization through an optimal allocation of information granularity. Appl. Soft Comput. 12(8): 1985-1995 (2012) - [j428]Witold Pedrycz, Mingli Song:
A genetic reduction of feature space in the design of fuzzy models. Appl. Soft Comput. 12(9): 2801-2816 (2012) - [j427]Sulan Zhang, Ping Guo
A completeness analysis of frequent weighted concept lattices and their algebraic properties. Data Knowl. Eng. 81-82: 104-117 (2012) - [j426]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz:
Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights. Eng. Appl. Artif. Intell. 25(3): 520-532 (2012) - [j425]Xin Wang, Xiaodong Liu, Witold Pedrycz, Xiaolei Zhu, Guangfei Hu:
Mining axiomatic fuzzy set association rules for classification problems. Eur. J. Oper. Res. 218(1): 202-210 (2012) - [j424]Ho-Sung Park, Witold Pedrycz, Y.-D. Chung, Sung-Kwun Oh:
Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks. Expert Syst. Appl. 39(1): 1021-1039 (2012) - [j423]Xiao-bing Liu, Kun Zhai, Witold Pedrycz:
An improved association rules mining method. Expert Syst. Appl. 39(1): 1362-1374 (2012) - [j422]Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz:
Fuzzy linear regression based on Polynomial Neural Networks. Expert Syst. Appl. 39(10): 8909-8928 (2012) - [j421]Witold Pedrycz, Sharifah Sakinah Syed Ahmad
Evolutionary feature selection via structure retention. Expert Syst. Appl. 39(15): 11801-11807 (2012) - [j420]Adam Pedrycz, Kaoru Hirota, Witold Pedrycz, Fangyan Dong:
Granular representation and granular computing with fuzzy sets. Fuzzy Sets Syst. 203: 17-32 (2012) - [j419]Witold Pedrycz, Mingli Song:
Granular fuzzy models: a study in knowledge management in fuzzy modeling. Int. J. Approx. Reason. 53(7): 1061-1079 (2012) - [j418]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov
Decision Theory with Imprecise Probabilities. Int. J. Inf. Technol. Decis. Mak. 11(2): 271-306 (2012) - [j417]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Su-Chong Joo:
Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution. Neurocomputing 78(1): 121-132 (2012) - [j416]Rafik A. Aliev, Witold Pedrycz, Bijan Fazlollahi, Oleg H. Huseynov
Fuzzy logic-based generalized decision theory with imperfect information. Inf. Sci. 189: 18-42 (2012) - [j415]Sushmita Mitra
Feature selection using structural similarity. Inf. Sci. 198: 48-61 (2012) - [j414]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz:
An Efficient Solution of Real-Time Fuzzy Regression Analysis to Information Granules Problem. J. Adv. Comput. Intell. Intell. Informatics 16(2): 199-209 (2012) - [j413]Ilsun You, Witold Pedrycz:
Editorial: Advanced intelligent and security services in mobile and ubiquitous computing. J. Intell. Manuf. 23(4): 1257-1258 (2012) - [j412]De-Qiang Li, Xusheng Tang, Witold Pedrycz:
Face recognition using decimated redundant discrete wavelet transforms. Mach. Vis. Appl. 23(2): 391-401 (2012) - [j411]Marta Kolasa
A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip. Neural Networks 25: 146-160 (2012) - [j410]Daniel Graves, Joost Noppen, Witold Pedrycz:
Clustering with proximity knowledge and relational knowledge. Pattern Recognit. 45(7): 2633-2644 (2012) - [j409]Binod Vaidya, Jong Hyuk Park, Hamid R. Arabnia
Bio-inspired computing for hybrid information technology. Soft Comput. 16(3): 367-368 (2012) - [j408]Hesam Izakian, Witold Pedrycz:
A new PSO-optimized geometry of spatial and spatio-temporal scan statistics for disease outbreak detection. Swarm Evol. Comput. 4: 1-11 (2012) - [j407]Jun Zhao, Wei Wang, Witold Pedrycz, Xiangwei Tian:
Online Parameter Optimization-Based Prediction for Converter Gas System by Parallel Strategies. IEEE Trans. Control. Syst. Technol. 20(3): 835-845 (2012) - [j406]Luiz F. S. Coletta
Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines. IEEE Trans. Fuzzy Syst. 20(3): 444-462 (2012) - [j405]Jun Zhao, Quanli Liu, Witold Pedrycz, Dexiang Li:
Effective Noise Estimation-Based Online Prediction for Byproduct Gas System in Steel Industry. IEEE Trans. Ind. Informatics 8(4): 953-963 (2012) - [j404]Fabricio A. Breve
Particle Competition and Cooperation in Networks for Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 24(9): 1686-1698 (2012) - [j403]Jun Zhao, Quanli Liu, Wei Wang, Witold Pedrycz, Liqun Cong:
Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry. IEEE Trans. Neural Networks Learn. Syst. 23(3): 439-450 (2012) - [j402]Witold Pedrycz, Andrzej Bargiela:
An Optimization of Allocation of Information Granularity in the Interpretation of Data Structures: Toward Granular Fuzzy Clustering. IEEE Trans. Syst. Man Cybern. Part B 42(3): 582-590 (2012) - [j401]Wojciech Stach, Witold Pedrycz, Lukasz A. Kurgan
Learning of Fuzzy Cognitive Maps Using Density Estimate. IEEE Trans. Syst. Man Cybern. Part B 42(3): 900-912 (2012) - [j400]Soumyadip Sengupta, Swagatam Das
An Evolutionary Multiobjective Sleep-Scheduling Scheme for Differentiated Coverage in Wireless Sensor Networks. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1093-1102 (2012) - [c161]Soumyadip Sengupta, Swagatam Das
Energy-efficient differentiated coverage of dynamic objects using an improved evolutionary multi-objective optimization algorithm with fuzzy-dominance. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c160]Rafal Dlugosz, Marta Kolasa, Michal Szulc, Witold Pedrycz, Pierre-André Farine:
Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA. ESANN 2012 - [c159]Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Pierre-André Farine:
Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology. ESANN 2012 - [c158]Witold Pedrycz, Wladyslaw Homenda:
From Fuzzy Cognitive Maps to Granular Cognitive Maps. ICCCI (1) 2012: 185-193 - [c157]Wladyslaw Homenda, Witold Pedrycz:
Finite Automata with Imperfect Information as Classification Tools. ICCCI (1) 2012: 465-474 - [c156]Yicheng Wei, Junzo Watada, Witold Pedrycz:
A Fuzzy Support Vector Machine with Qualitative Regression Preset. ICGEC 2012: 393-399 - [c155]Witold Pedrycz:
Granular Logic Systems and their Development in the Setting of Granular fuzzy Relational equations. QLSC 2012 - [c154]Kuwen Li, Marek Z. Reformat, Witold Pedrycz, Jinfeng Yu:
Multi-Objective Optimization of Fuzzy Neural Networks for Software Modeling. SEKE 2012: 106-111 - [c153]Majid RobatJazi, Marek Z. Reformat
Ontology-based framework for reasoning with fuzzy temporal data. SMC 2012: 2030-2035 - [p19]Witold Pedrycz:
From Fuzzy Rule-Based Systems to Granular Fuzzy Rule-Based Systems: A Study in Granular Computing. Combining Experimentation and Theory 2012: 151-162 - 2011
- [j399]Witold Pedrycz, Shu-Ching Chen, Stuart Harvey Rubin, Gordon K. Lee:
Risk evaluation through decision-support architectures in threat assessment and countering terrorism. Appl. Soft Comput. 11(1): 621-631 (2011) - [j398]M. Hadi Mashinchi, Mehmet A. Orgun
Hybrid optimization with improved tabu search. Appl. Soft Comput. 11(2): 1993-2006 (2011) - [j397]Soowhan Han, Sungdae Park, Witold Pedrycz:
Conditional fuzzy clustering for blind channel equalization. Appl. Soft Comput. 11(2): 2777-2786 (2011) - [j396]Oscar Castillo
Design of interval type-2 fuzzy models through optimal granularity allocation. Appl. Soft Comput. 11(8): 5590-5601 (2011) - [j395]Ho-Sung Park, Y.-D. Chung, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnet. Eng. Appl. Artif. Intell. 24(3): 543-554 (2011) - [j394]Azizul Azhar Ramli
Real-time fuzzy regression analysis: A convex hull approach. Eur. J. Oper. Res. 210(3): 606-617 (2011) - [j393]Qinghua Hu, Lei Zhang
Measuring relevance between discrete and continuous features based on neighborhood mutual information. Expert Syst. Appl. 38(9): 10737-10750 (2011) - [j392]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz:
A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization. Expert Syst. Appl. 38(9): 11217-11229 (2011) - [j391]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park:
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. Fuzzy Sets Syst. 163(1): 54-77 (2011) - [j390]Guoqing Chen, Witold Pedrycz:
Report on IFSA Workshop, Beijing, July 4-5, 2010. Fuzzy Sets Syst. 168(1): 102-103 (2011) - [j389]Sanghamitra Bandyopadhyay, Sriparna Saha, Witold Pedrycz:
Use of a fuzzy granulation-degranulation criterion for assessing cluster validity. Fuzzy Sets Syst. 170(1): 22-42 (2011) - [j388]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz:
Design of fuzzy radial basis function-based polynomial neural networks. Fuzzy Sets Syst. 185(1): 15-37 (2011) - [j387]Yingxu Wang
Cognitive Informatics and Cognitive Computing in Year 10 and Beyond. Int. J. Cogn. Informatics Nat. Intell. 5(4): 1-21 (2011) - [j386]Witold Pedrycz:
Human Centricity and Perception-Based Perspective and Their Centrality to the Agenda of Granular Computing. Int. J. Cogn. Informatics Nat. Intell. 5(4): 44-60 (2011) - [j385]Mingli Song, Witold Pedrycz:
From local neural networks to granular neural networks: A study in information granulation. Neurocomputing 74(18): 3931-3940 (2011) - [j384]Rafik A. Aliev, Witold Pedrycz, Babek G. Guirimov
Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization. Inf. Sci. 181(9): 1591-1608 (2011) - [j383]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh:
Genetically optimized Hybrid Fuzzy Set-based Polynomial Neural Networks. J. Frankl. Inst. 348(2): 415-425 (2011) - [j382]Witold Pedrycz:
The Principle of Justifiable Granularity and an Optimization of Information Granularity Allocation as Fundamentals of Granular Computing. J. Inf. Process. Syst. 7(3): 397-412 (2011) - [j381]Witold Pedrycz, Barbara Russo
A model of job satisfaction for collaborative development processes. J. Syst. Softw. 84(5): 739-752 (2011) - [j380]Animesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz:
Study of select items in different data sources by grouping. Knowl. Inf. Syst. 27(1): 23-43 (2011) - [j379]Minghu Ha, Jiqiang Chen, Witold Pedrycz, Lu Sun:
Bounds on the rate of convergence of learning processes based on random sets and set-valued probability. Kybernetes 40(9/10): 1459-1485 (2011) - [j378]Yuhua Qian, Jiye Liang
An efficient accelerator for attribute reduction from incomplete data in rough set framework. Pattern Recognit. 44(8): 1658-1670 (2011) - [j377]Jie Zhou, Witold Pedrycz, Duoqian Miao:
Shadowed sets in the characterization of rough-fuzzy clustering. Pattern Recognit. 44(8): 1738-1749 (2011) - [j376]Witold Pedrycz:
Information granules and their use in schemes of knowledge management. Sci. Iran. 18(3): 602-610 (2011) - [j375]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz:
Optimized fuzzy PD cascade controller: A comparative analysis and design. Simul. Model. Pract. Theory 19(1): 181-195 (2011) - [j374]Witold Pedrycz, Daniel S. Yeung, Xizhao Wang:
Recent advances on machine learning and Cybernetics. Soft Comput. 15(6): 1039 (2011) - [j373]Jie Zhou, Duoqian Miao, Witold Pedrycz, Hongyun Zhang:
Analysis of alternative objective functions for attribute reduction in complete decision tables. Soft Comput. 15(8): 1601-1616 (2011) - [j372]Rafal Dlugosz, Tomasz Talaska
Current-Mode Analog Adaptive Mechanism for Ultra-Low-Power Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 58-II(1): 31-35 (2011) - [j371]Jun Zhao, Wei Wang, Ying Liu, Witold Pedrycz:
A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application. IEEE Trans. Control. Syst. Technol. 19(3): 507-520 (2011) - [j370]M. Hadi Mashinchi, Mehmet A. Orgun
A Tabu-Harmony Search-Based Approach to Fuzzy Linear Regression. IEEE Trans. Fuzzy Syst. 19(3): 432-448 (2011) - [j369]Witold Pedrycz, Mingli Song:
Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization With an Allocation of Information Granularity. IEEE Trans. Fuzzy Syst. 19(3): 527-539 (2011) - [j368]Qinghua Hu, Daren Yu, Witold Pedrycz, Degang Chen:
Kernelized Fuzzy Rough Sets and Their Applications. IEEE Trans. Knowl. Data Eng. 23(11): 1649-1667 (2011) - [j367]Rafal Dlugosz, Marta Kolasa
Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology. IEEE Trans. Neural Networks 22(12): 2091-2104 (2011) - [j366]Witold Pedrycz:
Introducing WIREs data mining and knowledge discovery. WIREs Data Mining Knowl. Discov. 1(1): 1 (2011) - [c152]Witold Pedrycz:
Human centricity and perception-based perspective of architectures of Granular Computing. IEEE ICCI*CC 2011: 3 - [c151]Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, George Baciu
Cognitive Informatics in Year 10 and Beyond: summary of the plenary panel. IEEE ICCI*CC 2011: 11-22 - [c150]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz:
Fisherman learning algorithm of the SOM realized in the CMOS technology. ESANN 2011 - [c149]Pekka Abrahamsson, Ilenia Fronza, Raimund Moser, Jelena Vlasenko, Witold Pedrycz:
Predicting Development Effort from User Stories. ESEM 2011: 400-403 - [c148]Azizul Azhar Ramli
A real-time analysis of granular information: Some initial thoughts on a convex hull-based fuzzy regression approach. FUZZ-IEEE 2011: 2851-2858 - [c147]Azizul Azhar Ramli
A Convex Hull-Based Fuzzy Regression to Information Granules Problem - An Efficient Solution to Real-Time Data Analysis. ICSECS (2) 2011: 190-204 - [c146]Jhimli Adhikari, P. R. Rao, Witold Pedrycz:
Mining Icebergs in Time-Stamped Databases. IICAI 2011: 641-660 - [c145]Witold Pedrycz:
Concepts and Design of Granular Fuzzy Neural Networks - New Constructs of Computational Intelligence. IJCCI (NCTA) 2011: 11 - [c144]Fabricio A. Breve
Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. ISNN (3) 2011: 426-433 - [c143]Sharifah Sakinah Syed Ahmad
Granular Instances Selection for Fuzzy Modeling. MLDM 2011: 99-111 - [c142]Witold Pedrycz:
Towards Designing Human Centric Systems: A New View at System Modeling with Granular Membership Grades. RSKT 2011: 16 - [c141]Sharifah Sakinah Syed Ahmad
Feature and instance selection via cooperative PSO. SMC 2011: 2127-2132 - [c140]Witold Pedrycz:
From Fuzzy Models to Granular Fuzzy Models. WILF 2011: 75-82 - [c139]Mario G. C. A. Cimino
Granular Data Regression with Neural Networks. WILF 2011: 172-179 - [e17]Anna Maria Fanelli
Fuzzy Logic and Applications - 9th International Workshop, WILF 2011, Trani, Italy, August 29-31,2011. Proceedings. Lecture Notes in Computer Science 6857, Springer 2011, ISBN 978-3-642-23712-6 [contents] - [e16]Oscar Castillo, Janusz Kacprzyk, Witold Pedrycz:
Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence 318, Springer 2011, ISBN 978-3-642-15533-8 [contents] - 2010
- [b7]Animesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz:
Developing Multi-Database Mining Applications. Advanced Information and Knowledge Processing, Springer 2010, ISBN 978-1-8499-6043-4, pp. I-IX, 1-127 - [j365]Yuhua Qian, Jiye Liang
Positive approximation: An accelerator for attribute reduction in rough set theory. Artif. Intell. 174(9-10): 597-618 (2010) - [j364]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification. Appl. Intell. 32(1): 27-46 (2010) - [j363]Naimeh Sadeghi, Aminah Robinson Fayek, Witold Pedrycz:
Fuzzy Monte Carlo Simulation and Risk Assessment in Construction. Comput. Aided Civ. Infrastructure Eng. 25(4): 238-252 (2010) - [j362]Witold Pedrycz, Stuart Harvey Rubin:
Data compactification and computing with words. Eng. Appl. Artif. Intell. 23(3): 346-356 (2010) - [j361]Witold Pedrycz:
The design of cognitive maps: A study in synergy of granular computing and evolutionary optimization. Expert Syst. Appl. 37(10): 7288-7294 (2010) - [j360]Witold Pedrycz:
Evolvable fuzzy systems: some insights and challenges. Evol. Syst. 1(2): 73-82 (2010) - [j359]Oscar Castillo
Preface to the special section on new trends on pattern recognition with fuzzy models. Fuzzy Sets Syst. 161(1): 1-2 (2010) - [j358]Daniel Graves, Witold Pedrycz:
Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study. Fuzzy Sets Syst. 161(4): 522-543 (2010) - [j357]Mahnhoon Lee, Witold Pedrycz:
Adaptive learning of ordinal-numerical mappings through fuzzy clustering for the objects of mixed features. Fuzzy Sets Syst. 161(4): 564-577 (2010) - [j356]Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz:
The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach. Fuzzy Sets Syst. 161(13): 1803-1822 (2010) - [j355]Wojciech Stach, Lukasz A. Kurgan
A divide and conquer method for learning large Fuzzy Cognitive Maps. Fuzzy Sets Syst. 161(19): 2515-2532 (2010) - [j354]Qinghua Hu, Lei Zhang
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications. Int. J. Approx. Reason. 51(4): 453-471 (2010) - [j353]Nick J. Pizzi, Witold Pedrycz:
Aggregating multiple classification results using fuzzy integration and stochastic feature selection. Int. J. Approx. Reason. 51(8): 883-894 (2010) - [j352]Witold Pedrycz:
Hierarchical Architectures of Fuzzy Models: From Type-1 fuzzy sets to Information Granules of Higher Type. Int. J. Comput. Intell. Syst. 3(2): 202-214 (2010) - [j351]Shu Cheng, Ruijun Dong, Witold Pedrycz:
A framework of fuzzy hybrid systems for modelling and control. Int. J. Gen. Syst. 39(2): 165-176 (2010) - [j350]Rafal Dlugosz, Witold Pedrycz:
lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. Neurocomputing 73(7-9): 1222-1234 (2010) - [j349]Seok-Beom Roh, Su-Chong Joo, Witold Pedrycz, Sung-Kwun Oh:
The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. Neurocomputing 73(13-15): 2464-2477 (2010) - [j348]Witold Pedrycz:
Granular Computing and Human-Centricity in Computational Intelligence. Int. J. Softw. Sci. Comput. Intell. 2(4): 16-31 (2010) - [j347]Yingxu Wang, Witold Pedrycz, George Baciu
Perspectives on Cognitive Computing and Applications. Int. J. Softw. Sci. Comput. Intell. 2(4): 32-44 (2010) - [j346]Witold Pedrycz:
Human centricity in computing with fuzzy sets: an interpretability quest for higher order granular constructs. J. Ambient Intell. Humaniz. Comput. 1(1): 65-74 (2010) - [j345]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz:
A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering. Knowl. Based Syst. 23(3): 202-219 (2010) - [j344]Witold Pedrycz:
The development of granular metastructures and their use in a multifaceted representation of data and models. Kybernetes 39(7): 1184-1200 (2010) - [j343]Naixue Xiong, Athanasios V. Vasilakos
A Resilient and Scalable Flocking Scheme in Autonomous Vehicular Networks. Mob. Networks Appl. 15(1): 126-136 (2010) - [j342]Witold Pedrycz, D. J. Lee, Nicolino J. Pizzi:
Representation and classification of high-dimensional biomedical spectral data. Pattern Anal. Appl. 13(4): 423-436 (2010) - [j341]Sushmita Mitra
Shadowed c-means: Integrating fuzzy and rough clustering. Pattern Recognit. 43(4): 1282-1291 (2010) - [j340]Witold Pedrycz, Andrzej Bargiela:
Fuzzy clustering with semantically distinct families of variables: Descriptive and predictive aspects. Pattern Recognit. Lett. 31(13): 1952-1958 (2010) - [j339]Witold Pedrycz, Vincenzo Loia, Sabrina Senatore
Fuzzy Clustering With Viewpoints. IEEE Trans. Fuzzy Syst. 18(2): 274-284 (2010) - [j338]Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz:
The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors Approach. IEEE Trans. Instrum. Meas. 59(3): 604-615 (2010) - [j337]Rafal Dlugosz, Tomasz Talaska
Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks. IEEE Trans. Neural Networks 21(6): 961-971 (2010) - [j336]Qinghua Hu, Witold Pedrycz, Daren Yu, Jun Lang:
Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization. IEEE Trans. Syst. Man Cybern. Part B 40(1): 137-150 (2010) - [j335]Shuming Wang, Junzo Watada, Witold Pedrycz:
Recourse-Based Facility-Location Problems in Hybrid Uncertain Environment. IEEE Trans. Syst. Man Cybern. Part B 40(4): 1176-1187 (2010) - [j334]Long Chen
A Gradient-Descent-Based Approach for Transparent Linguistic Interface Generation in Fuzzy Models. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1219-1230 (2010) - [c138]Witold Pedrycz:
Granular computing and human-centricity in computational intelligence. IEEE ICCI 2010: 2 - [c137]Yingxu Wang, Witold Pedrycz, George Baciu
Perspectives on cognitive computing and applications: Summary of plenary Panel I of IEEE ICCI'10. IEEE ICCI 2010: 8-16 - [c136]Witold Pedrycz:
Collaborative Granular Modeling And Simulation. ECMS 2010: 5-13 - [c135]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz:
Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology. ESANN 2010 - [c134]Ruijun Dong, Witold Pedrycz:
Sparse optimization using a mixed GA-PSO optimization framework. FSKD 2010: 1862-1866 - [c133]Keun Chang Kwak, Witold Pedrycz:
A design of genetically oriented linguistic model with the aid of fuzzy granulation. FUZZ-IEEE 2010: 1-6 - [c132]Nick J. Pizzi, Aleksander B. Demko, Witold Pedrycz:
Variance analysis and biomedical pattern classification. FUZZ-IEEE 2010: 1-8 - [c131]Azizul Azhar Ramli
Possibilistic regression analysis of influential factors in the planning and implementation of occupational health and safety management systems. FUZZ-IEEE 2010: 1-8 - [c130]Sharifah Sakinah Syed Ahmad, Witold Pedrycz:
A Comparative Study of Genetic Algorithms, Particle Swarm Optimization, and Differential Evolution in Problem of Feature Selection through Structure Retention. GEM 2010: 49-54 - [c129]Witold Pedrycz:
CPSCom 2010 Keynote Speech: Witold Pedrycz. GreenCom/CPSCom 2010 - [c128]Witold Pedrycz, Janusz Kacprzyk
Towards a New Generation of Indicators for Consensus Reaching Support Using Type-2 Fuzzy Sets. IPMU (2) 2010: 241-250 - [c127]Daniel Graves, Witold Pedrycz:
Proximity fuzzy clustering and its application to time series clustering and prediction. ISDA 2010: 49-54 - [c126]Witold Pedrycz:
Managing Granular Information in the Development of Human-Centric Systems. IUM 2010: 37-38 - [c125]Minghu Ha, Chao Wang, Witold Pedrycz:
The Key Theorem of Learning Theory Based on Sugeno Measure and Fuzzy Random Samples. LSMS/ICSEE (2) 2010: 241-249 - [p18]Witold Pedrycz:
Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation. Advances in Machine Learning II 2010: 3-21 - [e15]Athanasios V. Vasilakos
Autonomic Communication. Springer 2010, ISBN 978-0-387-09752-7 [contents] - [e14]Sorin Draghici, Taghi M. Khoshgoftaar, Vasile Palade, Witold Pedrycz, M. Arif Wani, Xingquan Zhu:
The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4300-0 [contents] - [e13]Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Soft Computing for Recognition Based on Biometrics. Studies in Computational Intelligence 312, Springer 2010, ISBN 978-3-642-15110-1 [contents]
2000 – 2009
- 2009
- [b6]Xiaodong Liu, Witold Pedrycz:
Axiomatic Fuzzy Set Theory and Its Applications. Studies in Fuzziness and Soft Computing 244, Springer 2009, ISBN 978-3-642-00401-8, pp. 3-489 - [j333]Fusheng Yu, Witold Pedrycz:
The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence. Appl. Soft Comput. 9(1): 264-273 (2009) - [j332]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh:
Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation. Appl. Soft Comput. 9(3): 1068-1089 (2009) - [j331]Soowhan Han, Imgeun Lee, Witold Pedrycz:
Modified fuzzy c-means and Bayesian equalizer for nonlinear blind channel. Appl. Soft Comput. 9(3): 1090-1096 (2009) - [j330]Witold Pedrycz, Partab Rai:
Experience-consistent modeling: Regression and classification problems. Autom. 45(2): 449-455 (2009) - [j329]Daniel J. Withey, Witold Pedrycz, Zoltan J. Koles:
Dynamic edge tracing: Boundary identification in medical images. Comput. Vis. Image Underst. 113(10): 1039-1052 (2009) - [j328]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz:
The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms. Eng. Appl. Artif. Intell. 22(2): 261-271 (2009) - [j327]Witold Pedrycz:
Statistically grounded logic operators in fuzzy sets. Eur. J. Oper. Res. 193(2): 520-529 (2009) - [j326]Witold Pedrycz, Byoung-Jun Park, Nicolino J. Pizzi:
Identifying core sets of discriminatory features using particle swarm optimization. Expert Syst. Appl. 36(3): 4610-4616 (2009) - [j325]Sung-Kwun Oh, Seung-Hyun Jung, Witold Pedrycz:
Design of optimized fuzzy cascade controllers by means of Hierarchical Fair Competition-based Genetic Algorithms. Expert Syst. Appl. 36(9): 11641-11651 (2009) - [j324]Minghu Ha, Witold Pedrycz, Lifang Zheng:
The theoretical fundamentals of learning theory based on fuzzy complex random samples. Fuzzy Sets Syst. 160(17): 2429-2441 (2009) - [j323]Xiaofeng Liang, Witold Pedrycz:
Logic-based fuzzy networks: A study in system modeling with triangular norms and uninorms. Fuzzy Sets Syst. 160(24): 3475-3502 (2009) - [j322]Mahnhoon Lee, Witold Pedrycz:
The fuzzy C-means algorithm with fuzzy P-mode prototypes for clustering objects having mixed features. Fuzzy Sets Syst. 160(24): 3590-3600 (2009) - [j321]Yingxu Wang
A Doctrine of Cognitive Informatics (CI). Fundam. Informaticae 90(3): 203-228 (2009) - [j320]Minghu Ha, Hong Zhang, Witold Pedrycz, Hong-Jie Xing:
The expected value models on Sugeno measure space. Int. J. Approx. Reason. 50(7): 1022-1035 (2009) - [j319]Witold Pedrycz:
From fuzzy sets to shadowed sets: Interpretation and computing. Int. J. Intell. Syst. 24(1): 48-61 (2009) - [j318]Witold Pedrycz:
Metastructural facets of granular computing. Int. J. Knowl. Eng. Soft Data Paradigms 1(1): 11-25 (2009) - [j317]Daniel Graves, Witold Pedrycz:
Fuzzy prediction architecture using recurrent neural networks. Neurocomputing 72(7-9): 1668-1678 (2009) - [j316]Mario G. C. A. Cimino
Using multilayer perceptrons as receptive fields in the design of neural networks. Neurocomputing 72(10-12): 2536-2548 (2009) - [j315]Witold Pedrycz, Rafik A. Aliev:
Logic-oriented neural networks for fuzzy neurocomputing. Neurocomputing 73(1-3): 10-23 (2009) - [j314]Witold Pedrycz:
Hierarchies of Architectures of Collaborative Computational Intelligence. Int. J. Softw. Sci. Comput. Intell. 1(1): 18-31 (2009) - [j313]Minghu Ha, Witold Pedrycz, Jiqiang Chen, Lifang Zheng:
Some theoretical results of learning theory based on random sets in set-valued probability space. Kybernetes 38(3/4): 635-657 (2009) - [j312]Athanasios V. Vasilakos
Editorial to the special issue. ACM Trans. Auton. Adapt. Syst. 4(4): 20:1-20:3 (2009) - [j311]Junzo Watada, Shuming Wang, Witold Pedrycz:
Building Confidence-Interval-Based Fuzzy Random Regression Models. IEEE Trans. Fuzzy Syst. 17(6): 1273-1283 (2009) - [j310]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference Scheme. IEEE Trans. Fuzzy Syst. 17(6): 1310-1323 (2009) - [j309]Shuming Wang, Junzo Watada, Witold Pedrycz:
Value-at-Risk-Based Two-Stage Fuzzy Facility Location Problems. IEEE Trans. Ind. Informatics 5(4): 465-482 (2009) - [j308]Xiaodong Liu, Witold Pedrycz, Tianyou Chai, Mingli Song:
The Development of Fuzzy Rough Sets with the Use of Structures and Algebras of Axiomatic Fuzzy Sets. IEEE Trans. Knowl. Data Eng. 21(3): 443-462 (2009) - [j307]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields. IEEE Trans. Neural Networks 20(10): 1604-1616 (2009) - [j306]Witold Pedrycz, Partab Rai:
A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent Agents. IEEE Trans. Syst. Man Cybern. Part B 39(4): 834-844 (2009) - [j305]Rafik A. Aliev, Witold Pedrycz:
Fundamentals of a Fuzzy-Logic-Based Generalized Theory of Stability. IEEE Trans. Syst. Man Cybern. Part B 39(4): 971-988 (2009) - [c124]Rafal Dlugosz, Witold Pedrycz:
Lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. ESANN 2009 - [c123]Nick J. Pizzi, Witold Pedrycz:
Discriminatory Components for Pattern Classification. IFSA/EUSFLAT Conf. 2009: 748-753 - [c122]Daniel Graves, Witold Pedrycz:
Multivariate Segmentation of Time Series with Differential Evolution. IFSA/EUSFLAT Conf. 2009: 1108-1113 - [c121]Francisco Queiroz, Antonio Braga, Witold Pedrycz:
Sorted Kernel Matrices as Cluster Validity Indexes. IFSA/EUSFLAT Conf. 2009: 1490-1495 - [c120]Azizul Azhar Ramli
New perspectives and applications of real-time fuzzy regression. FUZZ-IEEE 2009: 1451-1456 - [c119]Keon-Jun Park, Sung-Kwun Oh, Witold Pedrycz:
Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithms. FUZZ-IEEE 2009: 2013-2018 - [c118]Azizul Azhar Ramli
Real-time fuzzy switching regression analysis: a convex hull approach. iiWAS 2009: 284-291 - [c117]Witold Pedrycz:
Computational Intelligence - The Quests and Opportunities. IJCCI 2009: 11-11 - [c116]Qinghua Hu, Degang Chen, Daren Yu, Witold Pedrycz:
Kernelized Fuzzy Rough Sets. RSKT 2009: 304-311 - [c115]Shuming Wang, Junzo Watada, Witold Pedrycz:
Fuzzy Random Facility Location Problems with Recourse. SMC 2009: 1846-1851 - [c114]Stuart Harvey Rubin, Witold Pedrycz:
Numeric Data to Information Granules and Computing with Words. SMC 2009: 2972-2978 - [c113]Angelo Ciaramella
Uninorm Based Fuzzy Network for Tree Data Structures. WILF 2009: 77-84 - [e12]Andrzej Bargiela, Witold Pedrycz:
Human-Centric Information Processing Through Granular Modelling. Studies in Computational Intelligence 182, Springer 2009, ISBN 978-3-540-92915-4 [contents] - [e11]Aboul Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos, Witold Pedrycz:
Foundations of Computational Intelligence, Volume 1: Learning and Approximation. Studies in Computational Intelligence 201, Springer 2009, ISBN 978-3-642-01081-1 [contents] - [e10]Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence 256, Springer 2009, ISBN 978-3-642-04515-8 [contents] - [e9]Oscar Castillo, Witold Pedrycz, Janusz Kacprzyk:
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence 257, Springer 2009, ISBN 978-3-642-04513-4 [contents] - [r1]Witold Pedrycz:
Data and Dimensionality Reduction in Data Analysis and System Modeling. Encyclopedia of Complexity and Systems Science 2009: 1775-1789 - 2008
- [b5]Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi:
The Puzzle of Granular Computing. Studies in Computational Intelligence 138, Springer 2008, ISBN 978-3-540-79863-7, pp. 3-449 [contents] - [j304]Witold Pedrycz, Richard Weber
Special issue on soft computing for dynamic data mining. Appl. Soft Comput. 8(4): 1281-1282 (2008) - [j303]Rohani Binti Abu Bakar
DNA approach to solve clustering problem based on a mutual order. Biosyst. 91(1): 1-12 (2008) - [j302]Witold Pedrycz, Partab Rai:
Collaborative clustering with the use of Fuzzy C-Means and its quantification. Fuzzy Sets Syst. 159(18): 2399-2427 (2008) - [j301]Nick J. Pizzi, Witold Pedrycz:
Effective classification using feature selection and fuzzy integration. Fuzzy Sets Syst. 159(21): 2859-2872 (2008) - [j300]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
Identification of fuzzy models using a successive tuning method with a variant identification ratio. Fuzzy Sets Syst. 159(21): 2873-2889 (2008) - [j299]Minghu Ha, Witold Pedrycz, Aiquan Zhang, Yijun Fan:
A Development of Inclusion-degree-based Rough Fuzzy Random Sets. Fundam. Informaticae 86(4): 481-502 (2008) - [j298]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation. Int. J. Approx. Reason. 49(3): 631-648 (2008) - [j297]Witold Pedrycz, Partab Rai, Jozef M. Zurada:
Experience-Consistent Modeling for Radial Basis Function Neural Networks. Int. J. Neural Syst. 18(4): 279-292 (2008) - [j296]Bruno Apolloni, Simone Bassis
Interpolating support information granules. Neurocomputing 71(13-15): 2433-2445 (2008) - [j295]Witold Pedrycz, Ho-Sung Park, Sung-Kwun Oh:
A granular-oriented development of functional radial basis function neural networks. Neurocomputing 72(1-3): 420-435 (2008) - [j294]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(2): 245-274 (2008) - [j293]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering. Inf. Softw. Technol. 50(9-10): 912-923 (2008) - [j292]Gabriel Jarillo, Witold Pedrycz, Marek Z. Reformat
Aggregation of classifiers based on image transformations in biometric face recognition. Mach. Vis. Appl. 19(2): 125-140 (2008) - [j291]Witold Pedrycz, Byoung-Jun Park, Sung-Kwun Oh:
The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition. Pattern Recognit. 41(12): 3720-3735 (2008) - [j290]Witold Pedrycz, Kaoru Hirota:
A consensus-driven fuzzy clustering. Pattern Recognit. Lett. 29(9): 1333-1343 (2008) - [j289]Witold Pedrycz:
A dynamic data granulation through adjustable fuzzy clustering. Pattern Recognit. Lett. 29(16): 2059-2066 (2008) - [j288]Ikno Kim, Junzo Watada, Witold Pedrycz:
A DNA-based algorithm for arranging weighted cliques. Simul. Model. Pract. Theory 16(10): 1561-1570 (2008) - [j287]Gerardo Canfora
Special issue on Software Engineering and Soft Computing. Soft Comput. 12(1): 1-2 (2008) - [j286]Wojciech Stach, Lukasz A. Kurgan
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 16(1): 61-72 (2008) - [j285]Andrzej Bargiela, Witold Pedrycz:
Toward a Theory of Granular Computing for Human-Centered Information Processing. IEEE Trans. Fuzzy Syst. 16(2): 320-330 (2008) - [j284]Adam F. Gobi, Witold Pedrycz:
Logic Minimization as an Efficient Means of Fuzzy Structure Discovery. IEEE Trans. Fuzzy Syst. 16(3): 553-566 (2008) - [j283]Witold Pedrycz, Alberto Amato, Vincenzo Di Lecce, Vincenzo Piuri:
Fuzzy Clustering With Partial Supervision in Organization and Classification of Digital Images. IEEE Trans. Fuzzy Syst. 16(4): 1008-1026 (2008) - [j282]Witold Pedrycz, José Valente de Oliveira
A Development of Fuzzy Encoding and Decoding Through Fuzzy Clustering. IEEE Trans. Instrum. Meas. 57(4): 829-837 (2008) - [j281]Witold Pedrycz, Partab Rai:
A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent Agents. IEEE Trans. Syst. Man Cybern. Part B 38(4): 1062-1072 (2008) - [j280]Jonghwan Park, Moongu Jeon, Witold Pedrycz:
Score-Based Resampling Method for Evolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Part B 38(5): 1347-1355 (2008) - [c112]Raimund Moser, Witold Pedrycz, Giancarlo Succi
Analysis of the reliability of a subset of change metrics for defect prediction. ESEM 2008: 309-311 - [c111]Nicolino J. Pizzi, Witold Pedrycz:
An analysis of potentially imprecise class labels using a fuzzy similarity measure. FUZZ-IEEE 2008: 667-672 - [c110]Wojciech Stach, Lukasz A. Kurgan
Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps. FUZZ-IEEE 2008: 1975-1981 - [c109]Witold Pedrycz:
Concepts of evolvable and knowledge-consistent fuzzy models. GEFS 2008: 3 - [c108]Raimund Moser, Witold Pedrycz, Giancarlo Succi
A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction. ICSE 2008: 181-190 - [c107]Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi
A Model to Identify Refactoring Effort during Maintenance by Mining Source Code Repositories. PROFES 2008: 360-370 - [c106]Hamed O. Ghaffari, Mostafa Sharifzadeh, Witold Pedrycz:
Phase Transition in SONFIS and SORST. RSCTC 2008: 339-348 - [c105]Bishal Barman, Sushmita Mitra, Witold Pedrycz:
Shadowed Clustering for Speech Data and Medical Image Segmentation. RSCTC 2008: 475-484 - [c104]Witold Pedrycz:
Granular Computing in Multi-agent Systems. RSKT 2008: 3-17 - [c103]Seyed Koosha Golmohammadi, Marek Z. Reformat, Witold Pedrycz:
Fuzziness in the Semantic Web: Survey and Future Directions. SEKE 2008: 643-648 - [c102]Stuart H. Rubin, Gordon K. Lee, Witold Pedrycz, Shu-Ching Chen:
Modeling human cognition using a transformational knowledge architecture. SoSE 2008: 1-6 - [c101]Witold Pedrycz:
Collaborative Architectures of Fuzzy Modeling. WCCI 2008: 117-139 - [p17]Witold Pedrycz:
Neural Network Architectures. Wiley Encyclopedia of Computer Science and Engineering 2008 - [p16]James F. Peters, Witold Pedrycz:
Computational Intelligence. Wiley Encyclopedia of Computer Science and Engineering 2008 - [p15]Sung-Kwun Oh, Witold Pedrycz:
Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures. Engineering Evolutionary Intelligent Systems 2008: 23-57 - [p14]Witold Pedrycz:
A Quest for Adaptable and Interpretable Architectures of Computational Intelligence. Computational Intelligence Paradigms 2008: 25-49 - [p13]Sung-Kwun Oh, Witold Pedrycz:
Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design. Engineering Evolutionary Intelligent Systems 2008: 59-108 - [p12]Witold Pedrycz, Nikhil Ichalkaranje, Gloria E. Phillips-Wren, Lakhmi C. Jain:
Introduction to Computational Intelligence for Decision Making. Intelligent Decision Making: An AI-Based Approach 2008: 79-96 - [p11]Witold Pedrycz:
Semantics and Perception of Fuzzy Sets and Fuzzy Mappings. Computational Intelligence: A Compendium 2008: 597-639 - [p10]Toshihiro Kaino, Kaoru Hirota, Witold Pedrycz:
Fuzzy Sensitivity Analysis and Its Application. Fuzzy Engineering Economics with Applications 2008: 183-216 - [e8]Emilio Corchado, Ajith Abraham, Witold Pedrycz:
Hybrid Artificial Intelligence Systems, Third International Workshop, HAIS 2008, Burgos, Spain, September 24-26, 2008. Proceedings. Lecture Notes in Computer Science 5271, Springer 2008, ISBN 978-3-540-87655-7 [contents] - [e7]Ajith Abraham, Crina Grosan, Witold Pedrycz:
Engineering Evolutionary Intelligent Systems. Studies in Computational Intelligence 82, Springer 2008, ISBN 978-3-540-75395-7 [contents] - [e6]Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Soft Computing for Hybrid Intelligent Systems. Studies in Computational Intelligence 154, Springer 2008, ISBN 978-3-540-70811-7 [contents] - [i2]Hamed Owladeghaffari, Kourosh Shahriar, Witold Pedrycz:
Graphical Estimation of Permeability Using RST&NFIS. CoRR abs/0804.0353 (2008) - [i1]Hamed Owladeghaffari, Witold Pedrycz, Mostafa Sharifzadeh:
Modeling of Social Transitions Using Intelligent Systems. CoRR abs/0810.2046 (2008) - 2007
- [b4]Witold Pedrycz, Fernando A. C. Gomide:
Fuzzy Systems Engineering - Toward Human-Centric Computing. Wiley 2007, ISBN 978-0-471-78857-7, pp. I-XXII, 1-526 - [j279]Xiaodong Liu, Witold Pedrycz:
The development of fuzzy decision trees in the framework of Axiomatic Fuzzy Set logic. Appl. Soft Comput. 7(1): 325-342 (2007) - [j278]Witold Pedrycz, Kaoru Hirota:
Forming consensus in the networks of knowledge. Eng. Appl. Artif. Intell. 20(5): 657-666 (2007) - [j277]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation. Expert Syst. Appl. 33(4): 830-846 (2007) - [j276]Yongming Li
Minimization of lattice finite automata and its application to the decomposition of lattice languages. Fuzzy Sets Syst. 158(13): 1423-1436 (2007) - [j275]Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashima
Multiple regression with fuzzy data. Fuzzy Sets Syst. 158(19): 2169-2188 (2007) - [j274]Adam F. Gobi, Witold Pedrycz:
Fuzzy modelling through logic optimization. Int. J. Approx. Reason. 45(3): 488-510 (2007) - [j273]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore
Interactive knowledge management for agent-assisted web navigation. Int. J. Intell. Syst. 22(10): 1101-1122 (2007) - [j272]Witold Pedrycz:
Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes. Neurocomputing 70(7-9): 1403-1413 (2007) - [j271]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn:
IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Neurocomputing 70(16-18): 2783-2798 (2007) - [j270]Scott Dick, Adam Schenker, Witold Pedrycz, Abraham Kandel:
Regranulation: A granular algorithm enabling communication between granular worlds. Inf. Sci. 177(2): 408-435 (2007) - [j269]Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park:
Identification of fuzzy systems by means of genetic optimization and data granulation. J. Intell. Fuzzy Syst. 18(1): 31-41 (2007) - [j268]Euntai Kim, Witold Pedrycz:
Information granulation as a basis of fuzzy modeling. J. Intell. Fuzzy Syst. 18(2): 123-148 (2007) - [j267]Madhura Purnaprajna, Marek Z. Reformat
Genetic algorithms for hardware-software partitioning and optimal resource allocation. J. Syst. Archit. 53(7): 339-354 (2007) - [j266]Giovanni Bortolan
Hyperbox classifiers for arrhythmia classification. Kybernetes 36(3/4): 531-547 (2007) - [j265]Witold Pedrycz:
Reconciliation of perception of information granules and granular mappings. Kybernetes 36(5/6): 709-720 (2007) - [j264]Wing W. Y. Ng
Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error. Pattern Recognit. 40(1): 19-32 (2007) - [j263]Witold Pedrycz, Kaoru Hirota:
Fuzzy vector quantization with the particle swarm optimization: A study in fuzzy granulation-degranulation information processing. Signal Process. 87(9): 2061-2074 (2007) - [j262]Keon-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method. Simul. Model. Pract. Theory 15(9): 1128-1145 (2007) - [j261]Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park:
Structural developments of fuzzy systems with the aid of information granulation. Simul. Model. Pract. Theory 15(10): 1292-1309 (2007) - [j260]Witold Pedrycz, Kaoru Hirota:
Uninorm-Based Logic Neurons as Adaptive and Interpretable Processing Constructs. Soft Comput. 11(1): 41-52 (2007) - [j259]Eduardo Masato Iyoda, Takushi Shibata, Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
Image Compression and Reconstruction Using pit-Sigma Neural Networks. Soft Comput. 11(1): 53-61 (2007) - [j258]Paulo A. P. Fazendeiro
A Multiobjective Design of a Patient and Anaesthetist-Friendly Neuromuscular Blockade Controller. IEEE Trans. Biomed. Eng. 54(9): 1667-1678 (2007) - [j257]Witold Pedrycz, Keun Chang Kwak:
The Development of Incremental Models. IEEE Trans. Fuzzy Syst. 15(3): 507-518 (2007) - [j256]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore
Semantic Web Content Analysis: A Study in Proximity-Based Collaborative Clustering. IEEE Trans. Fuzzy Syst. 15(6): 1294-1312 (2007) - [j255]Seok-Beom Roh, Witold Pedrycz, Sung-Kwun Oh:
Genetic Optimization of Fuzzy Polynomial Neural Networks. IEEE Trans. Ind. Electron. 54(4): 2219-2238 (2007) - [j254]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Fuzzy Relation-Based Neural Networks and Their Hybrid Identification. IEEE Trans. Instrum. Meas. 56(6): 2522-2537 (2007) - [j253]Keun Chang Kwak, Witold Pedrycz:
Face Recognition Using an Enhanced Independent Component Analysis Approach. IEEE Trans. Neural Networks 18(2): 530-541 (2007) - [j252]Alireza Farhangfar, Lukasz A. Kurgan
A Novel Framework for Imputation of Missing Values in Databases. IEEE Trans. Syst. Man Cybern. Part A 37(5): 692-709 (2007) - [c100]Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz:
Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection. CIDM 2007: 668-673 - [c99]Tomasz Talaska, Rafal Dlugosz, Witold Pedrycz:
Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology. ESANN 2007: 151-156 - [c98]Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi
Effort Prediction in Iterative Software Development Processes - Incremental Versus Global Prediction Models. ESEM 2007: 344-353 - [c97]M. Hadi Mashinchi, M. Reza Mashinchi, Siti Mariyam Hj. Shamsuddin, Witold Pedrycz:
Genetically Tuned Fuzzy Back-propagation Learning Method Based On Derivation Of Min-max Function For Fuzzy Neural Networks. GEM 2007: 213-212 - [c96]Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Type-2 Fuzzy Logic: Theory and Applications. GrC 2007: 145-150 - [c95]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software Process. International Conference on Computational Science (4) 2007: 1108-1115 - [c94]Keon-Jun Park, Sung-Kwun Oh, Hyun-Ki Kim, Witold Pedrycz, Seong-Whan Jang:
Identification of Fuzzy Set-Based Fuzzy Systems by Means of Data Granulation and Genetic Optimization. ICCSA (3) 2007: 1076-1085 - [c93]Witold Pedrycz:
Distributed and Collaborative Soft Computing: An Emerging Development Environment. ICCTA 2007: 231-241 - [c92]Yi-hua Zhu, Witold Pedrycz:
Applying Genetic Algorithms to Efficiently Locate Mobile Terminals in Personal Communication Networks. ICNC (4) 2007: 302-306 - [c91]Raimund Moser, Pekka Abrahamsson
A Case Study on the Impact of Refactoring on Quality and Productivity in an Agile Team. CEE-SET 2007: 252-266 - [c90]Wojciech Stach, Lukasz A. Kurgan
Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN 2007: 1584-1589 - [c89]Sung-Kwun Oh, In-Tae Lee, Witold Pedrycz, Hyun-Ki Kim:
Design of Fuzzy Relation-Based Polynomial Neural Networks Using Information Granulation and Symbolic Gene Type Genetic Algorithms. ISNN (2) 2007: 206-215 - [c88]Raimund Moser, Witold Pedrycz, Giancarlo Succi:
Incremental Effort Prediction Models in Agile Development using Radial Basis Functions. SEKE 2007: 519-522 - [c87]Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri
The Genetic Development of Uninorm-Based Neurons. WILF 2007: 69-76 - [p9]Soowhan Han, Sungdae Park, Witold Pedrycz:
MFCM for Nonlinear Blind Channel Equalization. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 88-98 - [p8]Daniel Graves, Witold Pedrycz:
Fuzzy C-Means, Gustafson-Kessel FCM, and Kernel-Based FCM: A Comparative Study. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 140-149 - [p7]Mark D. Alexiuk, Nick J. Pizzi, Witold Pedrycz:
Tuning FCMP to Elicit Novel Time Course Signatures in fMRI Neural Activation Studies. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 746-755 - [p6]Witold Pedrycz:
Knowledge-Based Clustering in Computational Intelligence. Challenges for Computational Intelligence 2007: 317-341 - [p5]Witold Pedrycz:
Hybridization Schemes in Architectures of Computational Intelligence. Hybrid Intelligent Systems 2007: 3-20 - [e5]Oscar Castillo, Patricia Melin, Oscar Montiel, Roberto Sepúlveda, Witold Pedrycz, Janusz Kacprzyk:
Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, Selection of Papers from IFSA 2007. Advances in Soft Computing 42, Springer 2007, ISBN 978-3-540-72433-9 [contents] - [e4]Patricia Melin, Oscar Castillo, Luis T. Aguilar, Janusz Kacprzyk, Witold Pedrycz:
Foundations of Fuzzy Logic and Soft Computing, 12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, June 18-21, 2007, Proceedings. Lecture Notes in Computer Science 4529, Springer 2007, ISBN 978-3-540-72917-4 [contents] - [e3]Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4482, Springer 2007, ISBN 978-3-540-72529-9 [contents] - [e2]Patricia Melin, Oscar Castillo, Eduardo Gómez-Ramírez, Janusz Kacprzyk, Witold Pedrycz:
Analysis and Design of Intelligent Systems using Soft Computing Techniques, a selection of papers from IFSA 2007. Advances in Soft Computing 41, Springer 2007, ISBN 978-3-540-72431-5 [contents] - [e1]Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Hybrid Intelligent Systems - Analysis and Design. Studies in Fuzziness and Soft Computing 208, 2007, ISBN 978-3-540-37419-0 [contents] - 2006
- [j251]Abdelhamid Bouchachia
Data Clustering with Partial Supervision. Data Min. Knowl. Discov. 12(1): 47-78 (2006) - [j250]Abdelhamid Bouchachia
Enhancement of fuzzy clustering by mechanisms of partial supervision. Fuzzy Sets Syst. 157(13): 1733-1759 (2006) - [j249]Witold Pedrycz, Keun Chang Kwak:
Boosting of granular models. Fuzzy Sets Syst. 157(22): 2934-2953 (2006) - [j248]Adam F. Gobi, Witold Pedrycz:
The potential of fuzzy neural networks in the realization of approximate reasoning engines. Fuzzy Sets Syst. 157(22): 2954-2973 (2006) - [j247]Witold Pedrycz, Arnon Breuer, Nicolino J. Pizzi:
Fuzzy Adaptive Logic Networks as Hybrid Models of Quantitative Software Engineering. Intell. Autom. Soft Comput. 12(2): 189-209 (2006) - [j246]Angelo Ciaramella
Fuzzy relational neural network. Int. J. Approx. Reason. 41(2): 146-163 (2006) - [j245]Sung-Kwun Oh, Witold Pedrycz:
The design of self-organizing neural networks based on PNs and FPNs with the aid of genetic optimization and extended GMDH method. Int. J. Approx. Reason. 43(1): 26-58 (2006) - [j244]In-Tae Lee, Sung-Kwun Oh, Hyun-Ki Kim, Witold Pedrycz:
Genetically Optimized Fuzzy Polynomial Neural Network and Its Application to Multi-variable Software Process. Int. J. Fuzzy Log. Intell. Syst. 6(1): 33-38 (2006) - [j243]Xiaofeng Liang, Witold Pedrycz:
Fuzzy logic-based networks: A study in logic data interpretation. Int. J. Intell. Syst. 21(12): 1249-1267 (2006) - [j242]Antonino Staiano
Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. Neurocomputing 69(13-15): 1570-1581 (2006) - [j241]Marco Ronchetti, Giancarlo Succi
Early estimation of software size in object-oriented environments a case study in a CMM level 3 software firm. Inf. Sci. 176(5): 475-489 (2006) - [j240]Hajime Nobuhara, Witold Pedrycz, Salvatore Sessa, Kaoru Hirota:
A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations. Inf. Sci. 176(17): 2526-2552 (2006) - [j239]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh:
Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Inf. Sci. 176(23): 3490-3519 (2006) - [j238]Andrea Janes
Identification of defect-prone classes in telecommunication software systems using design metrics. Inf. Sci. 176(24): 3711-3734 (2006) - [j237]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design. J. Adv. Comput. Intell. Intell. Informatics 10(1): 35-49 (2006) - [j236]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore
Web navigation support by means of proximity-driven assistant agents. J. Assoc. Inf. Sci. Technol. 57(4): 515-527 (2006) - [j235]Sung-Kwun Oh, Witold Pedrycz:
Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms. J. Frankl. Inst. 343(2): 125-136 (2006) - [j234]Witold Pedrycz:
Quantitative logic-based framework for agile methodologies. J. Syst. Archit. 52(11): 700-707 (2006) - [j233]Gabriel Alvarado, Witold Pedrycz, Marek Z. Reformat
Deterioration of visual information in face classification using Eigenfaces and Fisherfaces. Mach. Vis. Appl. 17(1): 68-82 (2006) - [j232]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Fuzzy polynomial neurons as neurofuzzy processing units. Neural Comput. Appl. 15(3-4): 310-327 (2006) - [j231]Sushmita Mitra
Special Issue on Bioinformatics. Pattern Recognit. 39(12): 2265-2266 (2006) - [j230]Sung-Kwun Oh, Witold Pedrycz:
Genetic optimization-driven multi-layer hybrid fuzzy neural networks. Simul. Model. Pract. Theory 14(5): 597-613 (2006) - [j229]Yongming Li
The equivalence between fuzzy Mealy and fuzzy Moore machines. Soft Comput. 10(10): 953-959 (2006) - [j228]Adam Gacek
A Granular Description of ECG Signals. IEEE Trans. Biomed. Eng. 53(10): 1972-1982 (2006) - [j227]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(3): 688-703 (2006) - [j226]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Genetically optimized fuzzy polynomial neural networks. IEEE Trans. Fuzzy Syst. 14(1): 125-144 (2006) - [j225]Witold Pedrycz:
Logic-Based Fuzzy Neurocomputing With Unineurons. IEEE Trans. Fuzzy Syst. 14(6): 860-873 (2006) - [j224]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks. IEEE Trans. Ind. Electron. 53(4): 1309-1321 (2006) - [j223]Witold Pedrycz, Marek Z. Reformat
OR/AND neurons and the development of interpretable logic models. IEEE Trans. Neural Networks 17(3): 636-658 (2006) - [j222]Witold Pedrycz, Keun Chang Kwak:
Linguistic models as a framework of user-centric system modeling. IEEE Trans. Syst. Man Cybern. Part A 36(4): 727-745 (2006) - [j221]Sushmita Mitra
Rough-Fuzzy Collaborative Clustering. IEEE Trans. Syst. Man Cybern. Part B 36(4): 795-805 (2006) - [c86]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation. Australian Conference on Artificial Intelligence 2006: 100-109 - [c85]Mark D. Alexiuk, G. Sawatzky, Nicolino J. Pizzi, Witold Pedrycz:
Captology in Narrowcast Advertising: A Swarm Simulation of Persuasion Models. CCECE 2006: 1723-1726 - [c84]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Evolutionary Design of IG_gHSOFPNN with the aid of Information Granulation. FUZZ-IEEE 2006: 990-996 - [c83]Andrzej Bargiela, Witold Pedrycz:
The roots of granular computing. GrC 2006: 806-809 - [c82]Bruno Apolloni, Simone Bassis, Dario Malchiodi
Interpolating Support Information Granules. ICANN (2) 2006: 270-281 - [c81]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz:
Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. ISNN (1) 2006: 786-791 - [c80]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation. ISNN (2) 2006: 815-820 - [c79]Sung-Kwun Oh, Witold Pedrycz, Wan-Su Kim, Hyun-Ki Kim:
GA-Based Polynomial Neural Networks Architecture and Its Application to Multi-variable Software Process. PRICAI 2006: 834-838 - [c78]Wladyslaw Homenda, Witold Pedrycz:
Balanced Fuzzy Gates. RSCTC 2006: 107-116 - [c77]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization. RSCTC 2006: 467-476 - [c76]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms. RSCTC 2006: 477-486 - [c75]Tomasz Talaska
Analog-Counter-Based Conscience Mechanism in Kohonen's Neural Network Implemented in CMOS 0.18 m Technology. SiPS 2006: 416-421 - [c74]Long Chen
Computational Intelligence Techniques for Building Transparent Construction Performance Models. SMC 2006: 1166-1171 - 2005
- [b3]Witold Pedrycz:
Knowledge-based clustering - from data to information granules. Wiley 2005, ISBN 978-0-471-46966-7, pp. I-XVII, 1-316 - [j220]Hajime Nobuhara, Kaoru Hirota, Salvatore Sessa, Witold Pedrycz:
Efficient decomposition methods of fuzzy relation and their application to image decomposition. Appl. Soft Comput. 5(4): 399-408 (2005) - [j219]Giancarlo Succi
An Empirical Exploration of the Distributions of the Chidamber and Kemerer Object-Oriented Metrics Suite. Empir. Softw. Eng. 10(1): 81-104 (2005) - [j218]Hajime Nobuhara, Kaoru Hirota, Ferdinando Di Martino, Witold Pedrycz, Salvatore Sessa:
Fuzzy Relation Equations for Compression/Decompression Processes of Colour Images in the RGB and YUV Colour Spaces. Fuzzy Optim. Decis. Mak. 4(3): 235-246 (2005) - [j217]Witold Pedrycz, Marek Z. Reformat
Genetically optimized logic models. Fuzzy Sets Syst. 150(2): 351-371 (2005) - [j216]Angelo Ciaramella
The genetic development of ordinal sums. Fuzzy Sets Syst. 151(2): 303-325 (2005) - [j215]Wojciech Stach, Lukasz A. Kurgan
Genetic learning of fuzzy cognitive maps. Fuzzy Sets Syst. 153(3): 371-401 (2005) - [j214]Yongming Li
Fuzzy finite automata and fuzzy regular expressions with membership values in lattice-ordered monoids. Fuzzy Sets Syst. 156(1): 68-92 (2005) - [j213]Kaori Yoshida, Witold Pedrycz:
Guest Editorial - Special issue: Recent developments in hybrid intelligent systems. Int. J. Hybrid Intell. Syst. 2(4): 235-236 (2005) - [j212]Yongming Li
An approach to measure the robustness of fuzzy reasoning. Int. J. Intell. Syst. 20(4): 393-413 (2005) - [j211]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence. Neurocomputing 64: 397-431 (2005) - [j210]Wladyslaw Homenda, Witold Pedrycz:
Balanced fuzzy computing unit. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 13(2): 117-138 (2005) - [j209]Norikazu Ikoma, Witold Pedrycz, Takahiro Hyakudome, Hiroshi Maeda:
Adaptive Touch Panel User Interface by Type-Based Approach Using Particle Filters. J. Adv. Comput. Intell. Intell. Informatics 9(6): 643-653 (2005) - [j208]Witold Pedrycz, Giancarlo Succi
Genetic granular classifiers in modeling software quality. J. Syst. Softw. 76(3): 277-285 (2005) - [j207]Soowhan Han, Witold Pedrycz, Chang-Wook Han:
Nonlinear channel blind equalization using hybrid genetic algorithm with simulated annealing. Math. Comput. Model. 41(6-7): 697-709 (2005) - [j206]Keun Chang Kwak, Witold Pedrycz:
Face recognition using a fuzzy fisherface classifier. Pattern Recognit. 38(10): 1717-1732 (2005) - [j205]Keun Chang Kwak, Witold Pedrycz:
Face recognition: A study in information fusion using fuzzy integral. Pattern Recognit. Lett. 26(6): 719-733 (2005) - [j204]Moongu Jeon, Murray E. Alexander, Witold Pedrycz, Nicolino J. Pizzi:
Unsupervised hierarchical image segmentation with level set and additive operator splitting. Pattern Recognit. Lett. 26(10): 1461-1469 (2005) - [j203]Witold Pedrycz:
Interpretation of clusters in the framework of shadowed sets. Pattern Recognit. Lett. 26(15): 2439-2449 (2005) - [j202]Witold Pedrycz, Athanasios V. Vasilakos
Special issue on soft computing applications to CDMA power control optimization. Soft Comput. 9(2): 67 (2005) - [j201]Andrzej Bargiela, Witold Pedrycz:
A model of granular data: a design problem with the Tchebyschev FCM. Soft Comput. 9(3): 155-163 (2005) - [j200]Marco Painho
Exploring spatial data through computational intelligence: a joint perspective. Soft Comput. 9(5): 326-331 (2005) - [j199]Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
Relational image compression: optimizations through the design of fuzzy coders and YUV color space. Soft Comput. 9(6): 471-479 (2005) - [j198]De-Qiang Li, Witold Pedrycz, Nicolino J. Pizzi:
Fuzzy wavelet packet based feature extraction method and its application to biomedical signal classification. IEEE Trans. Biomed. Eng. 52(6): 1132-1139 (2005) - [j197]Andrzej Bargiela, Witold Pedrycz:
Granular mappings. IEEE Trans. Syst. Man Cybern. Part A 35(2): 292-297 (2005) - [j196]Witold Pedrycz, Zenon A. Sosnowski
Genetically optimized fuzzy decision trees. IEEE Trans. Syst. Man Cybern. Part B 35(3): 633-641 (2005) - [j195]Witold Pedrycz, Zenon A. Sosnowski
C-fuzzy decision trees. IEEE Trans. Syst. Man Cybern. Part C 35(4): 498-511 (2005) - [c73]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn:
Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. Australian Conference on Artificial Intelligence 2005: 1142-1145 - [c72]Keun Chang Kwak, Witold Pedrycz, Myung-Geun Chun:
Modeling Nonlinear Systems: An Approach of Boosted Linguistic Models. FSKD (2) 2005: 514-523 - [c71]Wojciech Stach, Lukasz A. Kurgan
Evolutionary Development of Fuzzy Cognitive Maps. FUZZ-IEEE 2005: 619-624 - [c70]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Yong-Kab Kim:
Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks. International Conference on Computational Science (1) 2005: 792-797 - [c69]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Tae-Chon Ahn:
Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons. International Conference on Computational Science (1) 2005: 798-803 - [c68]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Design of Evolutionally Optimized Rule-Based Fuzzy Neural Networks Based on Fuzzy Relation and Evolutionary Optimization. International Conference on Computational Science (3) 2005: 1100-1103 - [c67]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim:
Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. ICCSA (4) 2005: 887-895 - [c66]Witold Pedrycz:
Granular Computing in Knowledge Integration and Reuse. IRI 2005 - [c65]Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Yong-Kab Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks. IWANN 2005: 407-415 - [c64]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Jong-Beom Lee:
IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks. IWANN 2005: 416-423 - [c63]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation. MDAI 2005: 316-327 - [c62]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz:
A New Approach to Genetically Optimized Hybrid Fuzzy Set-Based Polynomial Neural Networks with FSPNs and PNs. MDAI 2005: 328-337 - [c61]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. MDAI 2005: 338-345 - [c60]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs. MDAI 2005: 346-353 - [c59]Sushmita Mitra
Collaborative Rough Clustering. PReMI 2005: 768-773 - [c58]Witold Pedrycz:
Granular Computing with Shadowed Sets. RSFDGrC (1) 2005: 23-32 - [c57]Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo:
User-Driven Fuzzy Clustering: On the Road to Semantic Classification. RSFDGrC (1) 2005: 421-430 - [c56]Angelo Ciaramella
OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms. WILF 2005: 188-194 - [c55]Bruno Apolloni, D. Iannizzi, Dario Malchiodi
Granular Regression. WIRN/NAIS 2005: 147-156 - [p4]Witold Pedrycz, Zenon A. Sosnowski
Genetic BDD-oriented Pattern Classifiers. Information Processing and Security Systems 2005: 257-268 - [p3]Wladyslaw Homenda, Witold Pedrycz:
Symmetrization Of Fuzzy Operators: Notes On Data Aggregation. Computational Intelligence for Modelling and Prediction 2005: 1-17 - [p2]Hajime Nobuhara, Eduardo Masato Iyoda, Kaoru Hirota, Witold Pedrycz:
Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets. Computational Intelligence for Modelling and Prediction 2005: 163-177 - 2004
- [j194]Sung-Kwun Oh, Witold Pedrycz:
A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization. Adv. Eng. Informatics 18(1): 29-39 (2004) - [j193]Witold Pedrycz, Arnon Breuer, Nicolino J. Pizzi:
Genetic design of feature spaces for pattern classifiers. Artif. Intell. Medicine 32(2): 115-125 (2004) - [j192]Sung-Kwun Oh, Dae-Keun Lee, Witold Pedrycz, Dong-Hwa Kim:
The Genetic Design Of Hybrid Fuzzy Controllers. Cybern. Syst. 35(4): 333-361 (2004) - [j191]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh, Tae-Chon Ahn:
Parameter estimation of fuzzy controller and its application to inverted pendulum. Eng. Appl. Artif. Intell. 17(1): 37-60 (2004) - [j190]Witold Pedrycz:
Logic-driven fuzzy modeling with fuzzy multiplexers. Eng. Appl. Artif. Intell. 17(4): 383-391 (2004) - [j189]Witold Pedrycz, Marek Z. Reformat
Cascade Architectures of Fuzzy Neural Networks. Fuzzy Optim. Decis. Mak. 3(1): 5-37 (2004) - [j188]Sung-Kwun Oh, Witold Pedrycz:
Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design. Fuzzy Sets Syst. 142(2): 163-198 (2004) - [j187]Witold Pedrycz, Mehmet Aksit:
Editorial. Fuzzy Sets Syst. 145(1): 1-2 (2004) - [j186]Marek Z. Reformat
Building a software experience factory using granular-based models. Fuzzy Sets Syst. 145(1): 111-139 (2004) - [j185]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Self-organizing neurofuzzy networks in modeling software data. Fuzzy Sets Syst. 145(1): 165-181 (2004) - [j184]Witold Pedrycz, Vincenzo Loia, Sabrina Senatore
P-FCM: a proximity -- based fuzzy clustering. Fuzzy Sets Syst. 148(1): 21-41 (2004) - [j183]Witold Pedrycz:
Logic-Oriented Fuzzy Neural Networks. Int. J. Hybrid Intell. Syst. 1(1): 3-11 (2004) - [j182]Witold Pedrycz:
Associations and rules in data mining: A link analysis. Int. J. Intell. Syst. 19(7): 653-670 (2004) - [j181]Pawel Brzeminski, Witold Pedrycz:
Textual-Based Clustering Of Web Documents. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(6): 715-744 (2004) - [j180]Keun Chang Kwak, Witold Pedrycz, Hyoun-Joo Go, Myung-Geun Chun:
Fuzzy Aggregation Method Using Fisherface and Wavelet Decomposition for Face Recognition. J. Adv. Comput. Intell. Intell. Informatics 8(4): 379-384 (2004) - [j179]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation. Knowl. Based Syst. 17(1): 1-13 (2004) - [j178]Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka:
An inclusion/exclusion fuzzy hyperbox classifier. Int. J. Knowl. Based Intell. Eng. Syst. 8(2): 91-98 (2004) - [j177]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Relation-based neurofuzzy networks with evolutionary data granulation. Math. Comput. Model. 40(7-8): 891-921 (2004) - [j176]Witold Pedrycz, George Vukovich:
Fuzzy clustering with supervision. Pattern Recognit. 37(7): 1339-1349 (2004) - [j175]Witold Pedrycz:
Fuzzy clustering with a knowledge-based guidance. Pattern Recognit. Lett. 25(4): 469-480 (2004) - [j174]Witold Pedrycz, George Vukovich:
Noninvasive data analysis: a web of information granules. Soft Comput. 8(10): 657-662 (2004) - [j173]Hajime Nobuhara, Kaoru Hirota, Witold Pedrycz, Salvatore Sessa:
Two iterative methods of decomposition of a fuzzy relation for image compression/decompression processing. Soft Comput. 8(10): 698-704 (2004) - [j172]Andrzej Bargiela, Witold Pedrycz, Kaoru Hirota:
Granular prototyping in fuzzy clustering. IEEE Trans. Fuzzy Syst. 12(5): 697-709 (2004) - [j171]Witold Pedrycz:
Heterogeneous fuzzy logic networks: fundamentals and development studies. IEEE Trans. Neural Networks 15(6): 1466-1481 (2004) - [j170]Witold Pedrycz, Athanasios V. Vasilakos
Guest Editorial Special Issue on Computational Intelligence in Telecommunications Networks and Internet Services - Part III. IEEE Trans. Syst. Man Cybern. Part C 34(1): 1-3 (2004) - [j169]Keun Chang Kwak, Witold Pedrycz:
Face recognition using fuzzy Integral and wavelet decomposition method. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1666-1675 (2004) - [c54]Madhura Purnaprajna, Marek Z. Reformat, Witold Pedrycz:
Genetic Algorithms in Hardware-Software Partitioning. ERSA 2004: 123-129 - [c53]Andrés Dorado, Divna Djordjevic, Ebroul Izquierdo, Witold Pedrycz:
Supervised Semantic Scene Classification Based on Low-Level Clustering and Relevance Feedback. EWIMT 2004 - [c52]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa:
Proactive Utilization of Proximity-Oriented Information Inside an Agent-based Framework. FLAIRS 2004: 436-441 - [c51]Angelo Ciaramella
Ordinal sums by using genetic algorithms. FUZZ-IEEE 2004: 641-646 - [c50]Witold Pedrycz:
Granular Modeling: The Synergy of Granular Computing and Fuzzy Logic. HIS 2004: 4 - [c49]Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Jong-Beom Lee:
Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization. International Conference on Computational Science 2004: 179-187 - [c48]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn:
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. International Conference on Computational Science 2004: 188-195 - [c47]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. ISNN (1) 2004: 156-161 - [c46]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Daehee Park, Yong-Kab Kim:
A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. ISNN (1) 2004: 162-167 - [c45]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Yong-Soo Kim:
A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms. ISNN (1) 2004: 174-179 - [c44]Edyta Mrówka, Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo:
Dimensionality Reduction for Content-Based Image Classification. IV 2004: 435-438 - [c43]Yasue Mitsukura, Kensuke Mitsukura, Minoru Fukumi, Norio Akamatsu, Witold Pedrycz:
Medical Diagnosis System Using the Intelligent Fuzzy Systems. KES 2004: 807-826 - [c42]Witold Pedrycz:
Granular Computing: An Overview. WSC 2004: 19-34 - [p1]Witold Pedrycz:
Knowledge-Based Networking in GranularWorlds. Rough-Neural Computing: Techniques for Computing with Words 2004: 109-138 - 2003
- [j168]Roelof K. Brouwer, Witold Pedrycz:
Training a feed-forward network with incomplete data due to missing input variables. Appl. Soft Comput. 3(1): 23-36 (2003) - [j167]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Polynomial neural networks architecture: analysis and design. Comput. Electr. Eng. 29(6): 703-725 (2003) - [j166]Giancarlo Succi, Witold Pedrycz, Milorad Stefanovic, Barbara Russo:
An Investigation on the Occurrence of Service Requests in Commercial Software Applications. Empir. Softw. Eng. 8(2): 197-215 (2003) - [j165]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Hybrid identification in fuzzy-neural networks. Fuzzy Sets Syst. 138(2): 399-426 (2003) - [j164]Witold Pedrycz, Heloisa de Arruda Camargo
Fuzzy timed Petri nets. Fuzzy Sets Syst. 140(2): 301-330 (2003) - [j163]Reza Langari, Witold Pedrycz, Shehu Farinwata:
Guest-editorial. Integr. Comput. Aided Eng. 10(4): 303-304 (2003) - [j162]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore
P-FCM: a proximity-based fuzzy clustering for user-centered web applications. Int. J. Approx. Reason. 34(2-3): 121-144 (2003) - [j161]Sung-Kwun Oh, Witold Pedrycz:
Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks. Int. J. Gen. Syst. 32(3): 237-250 (2003) - [j160]Witold Pedrycz, Myung-Geun Chun, Giancarlo Succi
N4: computing with neural receptive fields. Neurocomputing 55(1-2): 383-401 (2003) - [j159]Marek Z. Reformat
Software quality analysis with the use of computational intelligence. Inf. Softw. Technol. 45(7): 405-417 (2003) - [j158]Witold Pedrycz, Andrzej Bargiela:
Fuzzy fractal dimensions and fuzzy modeling. Inf. Sci. 153: 199-216 (2003) - [j157]Giancarlo Succi
Practical assessment of the models for identification of defect-prone classes in object-oriented commercial systems using design metrics. J. Syst. Softw. 65(1): 1-12 (2003) - [j156]James F. Peters, Zbigniew Suraj
Classification of meteorological volumetric radar data using rough set methods. Pattern Recognit. Lett. 24(6): 911-920 (2003) - [j155]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Multi-FNN identification based on HCM clustering and evolutionary fuzzy granulation. Simul. Model. Pract. Theory 11(7-8): 627-642 (2003) - [j154]Shounak Roychowdhury, Witold Pedrycz:
An alternative characterization of fuzzy complement functional. Soft Comput. 7(8): 563-565 (2003) - [j153]Roelof K. Brouwer, Witold Pedrycz:
Set oriented mappings on neural networks. Soft Comput. 8(1): 28-37 (2003) - [j152]Adam Gacek
A genetic segmentation of ECG signals. IEEE Trans. Biomed. Eng. 50(10): 1203-1208 (2003) - [j151]Witold Pedrycz, Marek Z. Reformat
Evolutionary fuzzy modeling. IEEE Trans. Fuzzy Syst. 11(5): 652-665 (2003) - [j150]Andrzej Bargiela, Witold Pedrycz:
Recursive information granulation: aggregation and interpretation issues. IEEE Trans. Syst. Man Cybern. Part B 33(1): 96-112 (2003) - [j149]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation. IEEE Trans. Syst. Man Cybern. Part A 33(2): 271-277 (2003) - [j148]Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka:
A study of uncertain state estimation. IEEE Trans. Syst. Man Cybern. Part A 33(3): 288-301 (2003) - [j147]Witold Pedrycz, Athanasios V. Vasilakos
Special issue on computational intelligence in telecommunications networks and Internet services. I. IEEE Trans. Syst. Man Cybern. Part C 33(3): 294-296 (2003) - [j146]Athanasios V. Vasilakos
Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques. IEEE Trans. Syst. Man Cybern. Part C 33(3): 297-312 (2003) - [j145]Witold Pedrycz, Athanasios V. Vasilakos
Guest Editorial - Special issue on computational intelligence in telecommunications networks and internet services - Part II. IEEE Trans. Syst. Man Cybern. Part C 33(4): 429-431 (2003) - [c41]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore:
Proximity fuzzy clustering for web context analysis. EUSFLAT Conf. 2003: 59-62 - [c40]Xiaodong Liu, Witold Pedrycz, Qingling Zhang:
Axiomatics fuzzy sets logic. FUZZ-IEEE 2003: 55-60 - [c39]Abdelhamid Bouchachia, Witold Pedrycz:
A Semi-supervised Clutsering Algorithm for Data Exploration. IFSA 2003: 328-337 - [c38]Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka:
Exclusion/Inclusion Fuzzy Classification Network. KES 2003: 1236-1241 - [c37]Roelof K. Brouwer, Witold Pedrycz:
A Feed Forward Network and Its Training Algorithm for Producing Sets. Neural Networks and Computational Intelligence 2003: 112-117 - [c36]Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn:
Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. RSFDGrC 2003: 437-444 - [c35]Norikazu Ikoma, Witold Pedrycz, Keiko Baba, Takahiro Hyakudome, Yosuke Matsumoto, Nagatomo Nakamura, Hiroshi Maeda:
User type identification by mixing weight estimation of mixture models based on state space modeling. VECIMS 2003: 20-25 - [c34]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio Di Nola:
Fuzzy Relational Neural Network for Data Analysis. WILF 2003: 103-109 - [c33]Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz:
Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems. WILF 2003: 127-132 - 2002
- [j144]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation. Adv. Eng. Informatics 16(4): 247-263 (2002) - [j143]Giovanni Bortolan
An interactive framework for an analysis of ECG signals. Artif. Intell. Medicine 24(2): 109-132 (2002) - [j142]Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn:
Self-organizing neural networks with fuzzy polynomial neurons. Appl. Soft Comput. 2(1): 1-10 (2002) - [j141]Kaoru Hirota, Witold Pedrycz:
Data compression with fuzzy relational equations. Fuzzy Sets Syst. 126(3): 325-335 (2002) - [j140]Shounak Roychowdhury, Witold Pedrycz:
Modeling temporal functions with granular regression and fuzzy rules. Fuzzy Sets Syst. 126(3): 377-387 (2002) - [j139]Giovanni Bortolan
Linguistic neurocomputing: the design of neural networks in the framework of fuzzy sets. Fuzzy Sets Syst. 128(3): 389-412 (2002) - [j138]Witold Pedrycz, George Vukovich:
Stability of Information Granulation and Information Granules. Int. J. Comput. Intell. Appl. 2(2): 221-238 (2002) - [j137]Vincenzo Loia, Witold Pedrycz, Salvatore Sessa:
Fuzzy Relation Calculus in the Compression and Decompression of Fuzzy Relations. Int. J. Image Graph. 2(4): 617-632 (2002) - [j136]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Hybrid identification of fuzzy rule-based models. Int. J. Intell. Syst. 17(1): 77-103 (2002) - [j135]Witold Pedrycz, George Vukovich:
Granular computing with shadowed sets. Int. J. Intell. Syst. 17(2): 173-197 (2002) - [j134]Witold Pedrycz:
Knowledge-based neurocomputing. Ian Cloete and Jacek M. Zuranda (Eds.); MIT Press, Cambridge, MA, 2000, pp 486, ISBN 0-262-03274-0. Neurocomputing 47(1-4): 299-300 (2002) - [j133]Witold Pedrycz:
Advances in Kernel Methods. Support Vector Learning, B. Scholkopf, C.J.C. Burges, A.J. Smola (Eds.); MIT Press, Cambridge, 1999, pp 376+vii, ISBN 0-262-19416-3. Neurocomputing 47(1-4): 303-304 (2002) - [j132]Witold Pedrycz, Giancarlo Succi
Association Analysis of Software Measures. Int. J. Softw. Eng. Knowl. Eng. 12(3): 291-316 (2002) - [j131]Sung-Kwun Oh, Dong-Won Kim, Witold Pedrycz:
Hybrid Fuzzy Polynomial Neural Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10(3): 257-280 (2002) - [j130]Sung-Kwun Oh, Witold Pedrycz:
The design of self-organizing Polynomial Neural Networks. Inf. Sci. 141(3-4): 237-258 (2002) - [j129]Witold Pedrycz, Adam Gacek
Temporal granulation and its application to signal analysis. Inf. Sci. 143(1-4): 47-71 (2002) - [j128]Witold Pedrycz, George Vukovich:
Feature analysis through information granulation and fuzzy sets. Pattern Recognit. 35(4): 825-834 (2002) - [j127]Witold Pedrycz, George Vukovich:
Logic-oriented fuzzy clustering. Pattern Recognit. Lett. 23(13): 1515-1527 (2002) - [j126]Witold Pedrycz:
Collaborative fuzzy clustering. Pattern Recognit. Lett. 23(14): 1675-1686 (2002) - [j125]Witold Pedrycz, Athanasios V. Vasilakos
Modularization of fuzzy relational equations. Soft Comput. 6(1): 33-37 (2002) - [j124]Witold Pedrycz, George Vukovich:
An fMUX architecture: data modularization and mixed-mode system modeling. Soft Comput. 6(3-4): 271-276 (2002) - [j123]Witold Pedrycz:
Computational intelligence and visual computing: an emerging technology for software engineering. Soft Comput. 7(1): 33-44 (2002) - [j122]Witold Pedrycz, Giancarlo Succi
fXOR fuzzy logic networks. Soft Comput. 7(2): 115-120 (2002) - [j121]Witold Pedrycz, Giancarlo Succi
Genetic-fuzzy approach to the Boolean satisfiability problem. IEEE Trans. Evol. Comput. 6(5): 519-525 (2002) - [j120]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling. IEEE Trans. Fuzzy Syst. 10(5): 607-621 (2002) - [j119]Giovanni Bortolan
Fuzzy descriptive models: an interactive framework of information granulation [ECG data]. IEEE Trans. Fuzzy Syst. 10(6): 743-755 (2002) - [j118]Witold Pedrycz, Andrzej Bargiela:
Granular clustering: a granular signature of data. IEEE Trans. Syst. Man Cybern. Part B 32(2): 212-224 (2002) - [j117]Witold Pedrycz:
Relational and directional aspects in the construction of information granules. IEEE Trans. Syst. Man Cybern. Part A 32(5): 605-614 (2002) - [j116]Witold Pedrycz, George Vukovich:
On elicitation of membership functions. IEEE Trans. Syst. Man Cybern. Part A 32(6): 761-767 (2002) - [c32]Andrzej Bargiela, Witold Pedrycz, Kaoru Hirota:
Logic-Based Granular Prototyping. COMPSAC 2002: 1164-1169 - [c31]Wladyslaw Homenda, Witold Pedrycz:
Symmetrization of Fuzzy Operators: Notes on Data Aggregation. FSKD 2002: 23-27 - [c30]Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
Fuzzy Relational Image Compression using Non-Uniform Coders Designed by an Overlap Level of Fuzzy Sets. FSKD 2002: 290-294 - [c29]Witold Pedrycz, George Vukovich:
Clustering in the framework of collaborative agents. FUZZ-IEEE 2002: 134-138 - [c28]Andrzej Bargiela, Witold Pedrycz:
A model of granular data: a design problem with the Tchebyschev-based clustering. FUZZ-IEEE 2002: 578-583 - [c27]Witold Pedrycz:
Associations and rules in data mining: a linkage analysis. FUZZ-IEEE 2002: 867-871 - [c26]Marek Z. Reformat, Witold Pedrycz, Nicolino J. Pizzi:
Software quality analysis with the use of computational intelligence. FUZZ-IEEE 2002: 1156-1161 - [c25]Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
A digital watermarking algorithm using image compression method based on fuzzy relational equation. FUZZ-IEEE 2002: 1568-1573 - [c24]Petr Musílek, Witold Pedrycz, Nan Sun, Giancarlo Succi
On the Sensitivity of COCOMO II Software Cost Estimation Model. IEEE METRICS 2002: 13-20 - [c23]Witold Pedrycz:
Computational intelligence as an emerging paradigm of software engineering. SEKE 2002: 7-14 - 2001
- [j115]Witold Pedrycz:
Fuzzy equalization in the construction of fuzzy sets. Fuzzy Sets Syst. 119(2): 329-335 (2001) - [j114]Witold Pedrycz, Zenon A. Sosnowski
The design of decision trees in the framework of granular data and their application to software quality models. Fuzzy Sets Syst. 123(3): 271-290 (2001) - [j113]Witold Pedrycz, Adam Gacek:
Learning of Fuzzy Automata. Int. J. Comput. Intell. Appl. 1(1): 19-33 (2001) - [j112]Shounak Roychowdhury, Witold Pedrycz:
A survey of defuzzification strategies. Int. J. Intell. Syst. 16(6): 679-695 (2001) - [j111]Sankar K. Pal, Witold Pedrycz, Andrzej Skowron
Presenting the special issue on Rough-neuro computing : Preface. Neurocomputing 36(1-4): 1-3 (2001) - [j110]Witold Pedrycz, Liting Han, James F. Peters, Sheela Ramanna, R. Zhai:
Calibration of software quality: Fuzzy neural and rough neural computing approaches. Neurocomputing 36(1-4): 149-170 (2001) - [j109]Witold Pedrycz, George Vukovich:
Granular neural networks. Neurocomputing 36(1-4): 205-224 (2001) - [j108]Witold Pedrycz, Giancarlo Succi
Using self-organizing maps to analyze object-oriented software measures. J. Syst. Softw. 59(1): 65-82 (2001) - [j107]Athanasios V. Vasilakos
Application of computational intelligence techniques in active networks. Soft Comput. 5(4): 264-271 (2001) - [j106]Witold Pedrycz, George Vukovich:
Abstraction and specialization of information granules. IEEE Trans. Syst. Man Cybern. Part B 31(1): 106-111 (2001) - [j105]Witold Pedrycz, Kaoru Hirota, Salvatore Sessa:
A decomposition of fuzzy relations. IEEE Trans. Syst. Man Cybern. Part B 31(4): 657-663 (2001) - [c22]Roelof K. Brouwer, Witold Pedrycz:
One-to-many mappings represented on feed-forward networks. ESANN 2001: 365-370 - [c21]Hung T. Nguyen, Vladik Kreinovich, Witold Pedrycz:
Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms. EUSFLAT Conf. 2001: 406-409 - [c20]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz:
Fuzzy Relations Neural Network: Some Preliminary Results. FUZZ-IEEE 2001: 469-472 - [c19]Pratit Santiprabhob, Hung T. Nguyen, Witold Pedrycz, Vladik Kreinovich:
Logic-motivated Choice of Fuzzy Logic Operators. FUZZ-IEEE 2001: 646-649 - [c18]Giancarlo Succi
Holmes: An Intelligent System to Support Software Product Line Development. ICSE 2001: 829-830 - [c17]Snezana Djokic, Giancarlo Succi, Witold Pedrycz, Martin P. Mintchev:
Meta Analysis - A Method of Combining Empirical Results and its Application in Object-Oriented Software Systems. OOIS 2001: 103-112 - [c16]Gabriel Jarillo, Giancarlo Succi
Analysis of Software Engineering Data Using Computational Intelligence Techniques. OOIS 2001: 133-140 - [c15]Athanasios V. Vasilakos
Application of computational intelligence techniques in active networks. SAC 2001: 448-455 - [c14]Michael H. Smith, Witold Pedrycz:
Perception issues in data mining. SMC 2001: 2553 - 2000
- [j104]Sung-Kwun Oh, Witold Pedrycz:
Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems. Fuzzy Sets Syst. 115(2): 205-230 (2000) - [j103]Witold Pedrycz, George Vukovich:
Granular worlds: Representation and communication problems. Int. J. Intell. Syst. 15(11): 1015-1026 (2000) - [j102]Witold Pedrycz:
Adaptive Processing of Sequences and Data Structures, : C. Lee Giles and Marco Gori (Eds.); Springer, Berlin, 1998, pp. 434, ISBN 3-540-64341-9. Neurocomputing 35(1-4): 203-204 (2000) - [j101]Witold Pedrycz, George Vukovich:
Representation and Propagation of Information Granules in Rule-based Computing. J. Adv. Comput. Intell. Intell. Informatics 4(1): 102-110 (2000) - [j100]Max Q.-H. Meng, Witold Pedrycz:
Editorial: Sampling Research on Advanced Computational Intelligence in Canada. J. Adv. Comput. Intell. Intell. Informatics 4(3): 187 (2000) - [j99]Mark D. Alexiuk, Nicolino J. Pizzi, Pak Ching Li, Witold Pedrycz:
Neural Network Based Power Flow Predictor. J. Adv. Comput. Intell. Intell. Informatics 4(3): 206-211 (2000) - [j98]Myung-Geun Chun, Keun Chang Kwak, Jeong-Woong Ryu, Witold Pedrycz:
A Fuzzy Rule Extraction Method for ANFIS Using CFCM and Fuzzy Equalization. J. Adv. Comput. Intell. Intell. Informatics 4(5): 355-361 (2000) - [j97]Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
Fast solving method of fuzzy relational equation and its application to lossy image compression/reconstruction. IEEE Trans. Fuzzy Syst. 8(3): 325-334 (2000) - [j96]Witold Pedrycz, Zenon A. Sosnowski
Designing decision trees with the use of fuzzy granulation. IEEE Trans. Syst. Man Cybern. Part A 30(2): 151-159 (2000) - [j95]Witold Pedrycz, George Vukovich:
Investigating a relevance of fuzzy mappings. IEEE Trans. Syst. Man Cybern. Part B 30(2): 249-262 (2000) - [c13]Witold Pedrycz, Michael H. Smith:
Information granulation: percepts and their stability. FUZZ-IEEE 2000: 83-88 - [c12]Giancarlo Succi
Holmes: a system to support software product lines. ICSE 2000: 786 - [c11]Nicolino J. Pizzi, Witold Pedrycz:
Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures. IJCNN (3) 2000: 109-114 - [c10]Witold Pedrycz, Athanasios V. Vasilakos
Information Granulation for Concept Formation. SAC (1) 2000: 484-489 - [c9]Michael H. Smith, Witold Pedrycz:
Expanding the meaning of and applications for data mining. SMC 2000: 1874
1990 – 1999
- 1999
- [j94]Witold Pedrycz:
Ernest Czogala. Fuzzy Sets Syst. 104(2): 139-140 (1999) - [j93]Kaoru Hirota, Witold Pedrycz:
Specificity shift in solving fuzzy relational equations. Fuzzy Sets Syst. 106(2): 211-220 (1999) - [j92]Witold Pedrycz, George Vukovich:
Granular computing in the development of fuzzy controllers. Int. J. Intell. Syst. 14(4): 419-447 (1999) - [j91]James F. Peters, Andrzej Skowron, Zbigniew Suraj, Witold Pedrycz, Sheela Ramanna:
Approximate real-time decision making: Concepts and rough fuzzy Petri net models. Int. J. Intell. Syst. 14(8): 805-839 (1999) - [j90]Takeshi Furuhashi, Hidehiro Yamamoto, James F. Peters, Witold Pedrycz:
Fuzzy Control Stability Analysis Using a Generalized Fuzzy Petri Net Model. J. Adv. Comput. Intell. Intell. Informatics 3(2): 99-105 (1999) - [j89]Walmir M. Caminhas, Hermano Tavares, Fernando A. C. Gomide, Witold Pedrycz:
Fuzzy Set Based Neural Networks: Structure, Learning and Application. J. Adv. Comput. Intell. Intell. Informatics 3(3): 151-157 (1999) - [j88]Witold Pedrycz:
Guest Editorial. J. Intell. Manuf. 10(2): 119-120 (1999) - [j87]Andrzej Kraslawski, Witold Pedrycz, Lars Nyström:
Fuzzy Neural Network as Instance Generator for Case-Based Reasoning System: An Example of Selection of Heat Exchange Equipment in Mixing Tanks. Neural Comput. Appl. 8(2): 106-113 (1999) - [j86]Kaoru Hirota, Witold Pedrycz:
Fuzzy computing for data mining. Proc. IEEE 87(9): 1575-1600 (1999) - [j85]Witold Pedrycz:
Generalized fuzzy Petri nets as pattern classifiers. Pattern Recognit. Lett. 20(14): 1489-1498 (1999) - [j84]Kaoru Hirota, Witold Pedrycz:
Fuzzy relational compression. IEEE Trans. Syst. Man Cybern. Part B 29(3): 407-415 (1999) - [j83]Witold Pedrycz, Athanasios V. Vasilakos
Linguistic models and linguistic modeling. IEEE Trans. Syst. Man Cybern. Part B 29(6): 745-757 (1999) - 1998
- [b2]Witold Pedrycz, James F. Peters:
Computational Intelligence in Software Engineering. Advances in Fuzzy Systems - Applications and Theory 16, World Scientific 1998, ISBN 978-981-02-3503-1, pp. 1-500 - [j82]Petr Ekel
A general approach to solving a wide class of fuzzy optimization problems. Fuzzy Sets Syst. 97(1): 49-66 (1998) - [j81]Witold Pedrycz:
Fuzzy set technology in knowledge discovery. Fuzzy Sets Syst. 98(3): 279-290 (1998) - [j80]Witold Pedrycz:
Optimization schemes for decomposition of fuzzy relations. Fuzzy Sets Syst. 100(1-3): 301-325 (1998) - [j79]Ricardo R. Gudwin, Fernando A. C. Gomide, Witold Pedrycz:
Context adaptation in fuzzy processing and genetic algorithms. Int. J. Intell. Syst. 13(10-11): 929-948 (1998) - [j78]Antonio Gisolfi, Witold Pedrycz, Salvatore Sessa:
Guest Editorial. Inf. Sci. 106(1-2): 1-2 (1998) - [j77]Kaoru Hirota, Witold Pedrycz:
Implicitly-Supervised Learning and Its Application to Fuzzy Pattern Classifiers. Inf. Sci. 106(1-2): 71-85 (1998) - [j76]Witold Pedrycz:
Fuzzy evolutionary computing. Soft Comput. 2(2): 61-72 (1998) - [j75]Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, G. Wesley Rogers:
Two nonparametric models for fusing heterogeneous fuzzy data. IEEE Trans. Fuzzy Syst. 6(3): 411-425 (1998) - [j74]Witold Pedrycz:
Conditional fuzzy clustering in the design of radial basis function neural networks. IEEE Trans. Neural Networks 9(4): 601-612 (1998) - [j73]Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski:
Data Mining Methods for Knowledge Discovery. IEEE Trans. Neural Networks 9(6): 1533-1534 (1998) - [j72]Witold Pedrycz:
Shadowed sets: representing and processing fuzzy sets. IEEE Trans. Syst. Man Cybern. Part B 28(1): 103-109 (1998) - [c8]Takeshi Furuhashi, James F. Peters, Witold Pedrycz:
Controller design using multigranular architecture of fuzzy inference and Petri nets. SMC 1998: 1388-1393 - 1997
- [j71]Witold Pedrycz:
Technological developments section. Fuzzy Sets Syst. 85(1): 121-125 (1997) - [j70]Witold Pedrycz, Ricardo R. Gudwin
Nonlinear context adaptation in the calibration of fuzzy sets. Fuzzy Sets Syst. 88(1): 91-97 (1997) - [j69]Witold Pedrycz:
Fuzzy sets in pattern recognition: Accomplishments and challenges. Fuzzy Sets Syst. 90(2): 171-176 (1997) - [j68]Witold Pedrycz, Marek Z. Reformat
Rule-based models of multivariable functions. Fuzzy Sets Syst. 90(3): 235-253 (1997) - [j67]Kaoru Hirota, Witold Pedrycz:
Nonmonotonic fuzzy set operations: A generalization and some applications. Int. J. Intell. Syst. 12(7): 483-493 (1997) - [j66]Giovanni Bortolan, Witold Pedrycz:
Fuzzy Encoding and Decoding: A Study in Information Granularity. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 5(1): 71-92 (1997) - [j65]Witold Pedrycz, James Waletzky:
Fuzzy Clustering in Software Reusability. Softw. Pract. Exp. 27(3): 245-270 (1997) - [j64]Giovanni Bortolan
Reconstruction problem and information granularity. IEEE Trans. Fuzzy Syst. 5(2): 234-248 (1997) - [j63]Witold Pedrycz, Marek Z. Reformat
Rule-based modeling of nonlinear relationships. IEEE Trans. Fuzzy Syst. 5(2): 256-269 (1997) - [j62]Witold Pedrycz, James Waletzky:
Neural-network front ends in unsupervised learning. IEEE Trans. Neural Networks 8(2): 390-401 (1997) - [j61]Witold Pedrycz, James Waletzky:
Fuzzy clustering with partial supervision. IEEE Trans. Syst. Man Cybern. Part B 27(5): 787-795 (1997) - [c7]Witold Pedrycz, Michael H. Smith:
Fuzzy inference networks: an introduction. ICNN 1997: 2342-2346 - 1996
- [j60]Witold Pedrycz, José Valente de Oliveira
An algorithmic framework for development and optimization of fuzzy models. Fuzzy Sets Syst. 80(1): 37-55 (1996) - [j59]Kaoru Hirota, Witold Pedrycz:
Directional fuzzy clustering and its application to fuzzy modelling. Fuzzy Sets Syst. 80(3): 315-326 (1996) - [j58]Kaoru Hirota, Witold Pedrycz:
Solving fuzzy relational equations through logical filtering. Fuzzy Sets Syst. 81(3): 355-363 (1996) - [j57]Heloisa Scarpelli, Fernando A. C. Gomide, Witold Pedrycz:
Modeling fuzzy Reasoning using High Level fuzzy Petri Nets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 4(1): 61-86 (1996) - [j56]Witold Pedrycz:
Interfaces of Fuzzy Models: A Study in Fuzzy Information Processing. Inf. Sci. 90(1-4): 231-280 (1996) - [j55]Witold Pedrycz:
Classification of relational patterns as a decomposition problem. Pattern Recognit. Lett. 17(1): 91-99 (1996) - [j54]Yukiko Nakagawa, Kaoru Hirota, Witold Pedrycz:
A fuzzy knowledge base for dynamic image understandin. Pattern Recognit. Lett. 17(6): 601-605 (1996) - [j53]Witold Pedrycz:
Conditional Fuzzy C-Means. Pattern Recognit. Lett. 17(6): 625-631 (1996) - [j52]Witold Pedrycz:
Fuzzy multimodels. IEEE Trans. Fuzzy Syst. 4(2): 139-148 (1996) - [j51]Richard J. Hathaway, James C. Bezdek, Witold Pedrycz:
A parametric model for fusing heterogeneous fuzzy data. IEEE Trans. Fuzzy Syst. 4(3): 270-281 (1996) - [j50]Witold Pedrycz, José Valente de Oliveira
Optimization of fuzzy models. IEEE Trans. Syst. Man Cybern. Part B 26(4): 627-636 (1996) - 1995
- [b1]Witold Pedrycz:
Fuzzy sets engineering. CRC Press 1995, ISBN 978-0-8493-9402-7, pp. 1-332 - [j49]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
Equations and relations on ordered structures: Mathematical aspects and applications. Fuzzy Sets Syst. 75(2): 117-118 (1995) - [j48]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
Fuzzy relational structures: The state-of-art. Fuzzy Sets Syst. 75(2): 241-262 (1995) - [j47]Witold Pedrycz, C. Hart Poskar, P. J. Czerowski:
A reconfigurable fuzzy neural network with in-situ learning. IEEE Micro 15(4): 19-30 (1995) - [j46]Kaoru Hirota, Witold Pedrycz:
D-fuzzy clustering. Pattern Recognit. Lett. 16(2): 193-200 (1995) - [j45]Kaoru Hirota, Witold Pedrycz:
Design of fuzzy systems with fuzzy flip-flops. IEEE Trans. Syst. Man Cybern. 25(1): 169-176 (1995) - [j44]Witold Pedrycz, Patrick C. F. Lam, Armando F. Rocha:
Distributed fuzzy system modeling. IEEE Trans. Syst. Man Cybern. 25(5): 769-780 (1995) - [c6]James C. Bezdek, Richard J. Hathaway, Witold Pedrycz:
A parametric heterogeneous fuzzy data model. ICNN 1995: 354-358 - 1994
- [j43]Witold Pedrycz, Eugene Roventa:
A Hierarchical Neural Model of Matching. Inf. Sci. 78(3-4): 215-227 (1994) - [j42]Siegfried Gottwald, Witold Pedrycz:
Revealing Logical Dependencies in Fuzzy Data with the Aid of Multilevel Fuzzy Relational Equations. Inf. Sci. 78(3-4): 311-324 (1994) - [j41]Witold Pedrycz:
Neural Structures of Fuzzy Decision-Making. J. Intell. Fuzzy Syst. 2(2): 161-178 (1994) - [j40]Kaoru Hirota, Witold Pedrycz:
OR/AND neuron in modeling fuzzy set connectives. IEEE Trans. Fuzzy Syst. 2(2): 151-161 (1994) - [j39]Witold Pedrycz, Fernando A. C. Gomide:
A generalized fuzzy Petri net model. IEEE Trans. Fuzzy Syst. 2(4): 295-301 (1994) - [j38]Antonio Di Nola, Salvatore Sessa, Witold Pedrycz:
Fuzzy Information in Knowledge Representation and Processing for Frame-Based Structures. IEEE Trans. Syst. Man Cybern. Syst. 24(6): 918-925 (1994) - [c5]Zaifu Zhang, Robert D. McLeod, Witold Pedrycz:
Augmenting Scan Path SRLs with an XOR Network to Enhance Delay Fault Testing. DFT 1994: 55-64 - 1993
- [j37]Zaifu Zhang, Robert D. McLeod, Witold Pedrycz:
A neural network algorithm for testing stuck-open faults in CMOS combinational circuits. J. Electron. Test. 4(3): 225-235 (1993) - [j36]Kaoru Hirota, Witold Pedrycz:
Logic-based neural networks. Inf. Sci. 71(1-2): 99-130 (1993) - [j35]Witold Pedrycz:
Principles and methodology of fuzzy sets. J. Intell. Manuf. 4(5): 323-340 (1993) - [j34]Witold Pedrycz, Armando F. Rocha:
Fuzzy-set based models of neurons and knowledge-based networks. IEEE Trans. Fuzzy Syst. 1(4): 254-266 (1993) - [j33]C. Sul, Robert D. McLeod, Witold Pedrycz:
Reliable and fast reconfigurable hierarchical interconnection networks for linear WSI arrays. IEEE Trans. Very Large Scale Integr. Syst. 1(2): 224-228 (1993) - 1992
- [j32]Antonio Di Nola, Salvatore Sessa, Witold Pedrycz:
A study on approximate reasoning mechanisms via fuzzy relation equations. Int. J. Approx. Reason. 6(1): 33-44 (1992) - [j31]Kaoru Hirota, Witold Pedrycz:
Concepts formation: Representation and processing issues. Int. J. Intell. Syst. 7(1): 3-13 (1992) - [j30]Witold Pedrycz:
Selected issues of frame of knowledge representation realized by means of linguistic labels. Int. J. Intell. Syst. 7(2): 155-169 (1992) - [j29]Kaoru Hirota, Witold Pedrycz:
Prototype construction and evaluation as inverse problems in pattern classification. Pattern Recognit. 25(6): 601-608 (1992) - [j28]Witold Pedrycz:
Author's reply. Pattern Recognit. 25(9): 1071-1072 (1992) - [j27]Witold Pedrycz:
Fuzzy neural networks with reference neurons as pattern classifiers. IEEE Trans. Neural Networks 3(5): 770-775 (1992) - [j26]Witold Pedrycz:
Associations of fuzzy sets. IEEE Trans. Syst. Man Cybern. 22(6): 1483-1488 (1992) - [c4]Witold Pedrycz:
Modelling with Fuzzy Sets in Fuzzy Control. Fuzzy Days 1992: 3-34 - 1991
- [j25]Witold Pedrycz, Giovanni Bortolan
Classification of electrocardiographic signals: a fuzzy pattern matching approach. Artif. Intell. Medicine 3(4): 211-226 (1991) - [j24]Witold Pedrycz:
Fuzzy logic in development of fundamentals of pattern recognition. Int. J. Approx. Reason. 5(3): 251-264 (1991) - [j23]Witold Pedrycz:
Neurocomputations in Relational Systems. IEEE Trans. Pattern Anal. Mach. Intell. 13(3): 289-297 (1991) - [j22]Witold Pedrycz:
Formation of prototypes and their confidence regions in classification and concept formation problems. Pattern Recognit. Lett. 12(12): 739-746 (1991) - [j21]Kaoru Hirota, Witold Pedrycz:
Matching fuzzy quantities. IEEE Trans. Syst. Man Cybern. 21(6): 1580-1586 (1991) - [j20]Witold Pedrycz:
A referential scheme of fuzzy decision making and its neural network structure. IEEE Trans. Syst. Man Cybern. 21(6): 1593-1604 (1991) - [c3]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
Difference Fuzzy Relation Equations: Studies in Dynamical Systems. ECSQARU 1991: 161-165 - [c2]Witold Pedrycz:
Fuzzy Dynamic Systems. Fuzzy Logic and Fuzzy Control 1991: 37-44 - 1990
- [j19]Antonio Di Nola, Salvatore Sessa, Witold Pedrycz:
On some finite fuzzy relation equations. Inf. Sci. 50(1): 93-109 (1990) - [j18]Witold Pedrycz:
Relevancy of fuzzy models. Inf. Sci. 52(3): 285-302 (1990) - [j17]Witold Pedrycz:
Fuzzy sets in pattern recognition: Methodology and methods. Pattern Recognit. 23(1-2): 121-146 (1990) - [j16]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa, Elie Sanchez:
Designing of classification procedures with the use of equality and difference operators. Pattern Recognit. 23(8): 911-917 (1990) - [c1]J. Diamond, R. McLeod, Witold Pedrycz:
A fuzzy cognitive system: examination of a referential neural architecture. IJCNN 1990: 617-622
1980 – 1989
- 1989
- [j15]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
An aspect of discrepancy in the implementation of modus ponens in the presence of fuzzy quantities. Int. J. Approx. Reason. 3(3): 259-265 (1989) - [j14]Witold Pedrycz:
Knowledge representation in medicine and clinical behavioural science : L. J. Kohout and W. Bandler, Eds., Abacus Press, Tunbridge Wells, Kent, 1988, $24.50 . Int. J. Approx. Reason. 3(6): 467-469 (1989) - [j13]Witold Pedrycz:
A fuzzy cognitive structure for pattern recognition. Pattern Recognit. Lett. 9(5): 305-313 (1989) - 1988
- [j12]Vilém Novák, Witold Pedrycz:
Fuzzy Sets and T-Norms in the Light of Fuzzy Logic. Int. J. Man Mach. Stud. 29(2): 113-127 (1988) - 1986
- [j11]Witold Pedrycz:
Ranking multiple aspect alternatives - Fuzzy relational equations approach. Autom. 22(2): 251-253 (1986) - [j10]Siegfried Gottwald, Witold Pedrycz:
On the Suitability of Fuzzy Models: An Evaluation Through Fuzzy Integrals. Int. J. Man Mach. Stud. 24(2): 141-151 (1986) - [j9]Kaoru Hirota, Witold Pedrycz:
Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis. IEEE Trans. Syst. Man Cybern. 16(1): 173-179 (1986) - 1985
- [j8]Witold Pedrycz:
Algorithms of fuzzy clustering with partial supervision. Pattern Recognit. Lett. 3(1): 13-20 (1985) - [j7]Witold Pedrycz:
Classification in a fuzzy environment. Pattern Recognit. Lett. 3(5): 303-308 (1985) - 1984
- [j6]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
Some theoretical aspects of fuzzy-relation equations describing fuzzy systems. Inf. Sci. 34(3): 241-264 (1984) - [j5]Kaoru Hirota, Witold Pedrycz:
Characterization of fuzzy clustering algorithms in terms of entropy of probabilistic sets. Pattern Recognit. Lett. 2(4): 213-216 (1984) - [j4]Witold Pedrycz:
Identification in fuzzy systems. IEEE Trans. Syst. Man Cybern. 14(2): 361-366 (1984) - 1982
- [j3]Kaoru Hirota, Witold Pedrycz:
Fuzzy system identification via probabilistic sets. Inf. Sci. 28(1): 21-43 (1982) - 1981
- [j2]Ernest Czogala, Witold Pedrycz:
Some Problems Concerning the Construction of Algorithms of Decision-Making in Fuzzy Systems. Int. J. Man Mach. Stud. 15(2): 201-211 (1981) - 1980
- [j1]Witold Pedrycz:
Stabilization of bilinear systems by a linear feedback control. Kybernetika 16(1): 48-53 (1980)
Coauthor Index
[j1387] [j1383] [j1381] [j1317] [j1243] [j1242] [j1199] [j1123] [c281] [j1033] [c276] [b9] [j951] [j894] [j798] [j777] [j420] [j290] [p10] [j278] [j263] [j260] [j259] [j240] [j220] [j218] [j199] [p2] [j173] [j172] [j141] [c32] [c30] [c25] [j105] [j97] [j93] [j86] [j84] [j77] [j67] [j59] [j58] [j54] [j46] [j45] [j40] [j36] [j31] [j29] [j21] [j9] [j5] [j3]
[j1375] [j1305] [j1297] [j1296] [j1284] [j1272] [j1270] [j1260] [j1239] [j1224] [j1220] [j1215] [j1153] [j1139] [j1132] [j1129] [j1111] [j1103] [j1096] [j1090] [j1082] [j1077] [j1030] [j1027] [j1020] [j1019] [j1004] [j992] [j972] [j958] [j942] [j939] [j938] [j919] [j915] [j913] [j904] [j884] [j883] [j872] [j871] [j870] [j862] [j858] [j820] [j811] [j805] [j787] [j785] [i20] [i18] [i17] [i16] [i15] [j781] [j756] [j743] [j742] [j733] [j731] [j728] [j672] [j671] [j664] [j653] [j652] [j622] [j610] [j608] [j597] [j584] [j566] [c221]
[j1371] [j1293] [j1255] [j1155] [j1026] [j1018] [j1006] [j1005] [j902] [j900] [j896] [j885] [j795] [j793] [j751] [j749] [j734] [i10] [j669] [j667] [j637] [j636] [j599] [j585] [j575] [j574] [j553] [j546] [j536] [j529] [j518] [j499] [j498] [j497] [j479] [j472] [j462] [j458] [j425] [b6] [j308] [j279] [c40]
[j1322] [j1312] [j1292] [j1291] [j1281] [j1273] [j1268] [j1259] [j1258] [j1256] [j1244] [j1207] [j1201] [j1196] [j1162] [j1135] [j1106] [j1105] [j1085] [j1078] [j1076] [j1075] [j1063] [j1062] [j1039] [j1015] [j990] [j989] [j977] [j959] [j941] [j931] [j892] [j882] [j877] [j856] [j828] [j801] [i13] [j780] [j768] [j706] [j691] [j668] [j663] [j661] [j660] [j626] [j607] [j592] [j591] [j586] [c212] [j520] [j493] [j481] [j477] [j463] [j460] [j450] [j448] [j447] [j444] [c172] [c171] [c167] [j426] [j424] [j417] [j395] [j392] [j391] [j388] [j383] [j375] [j364] [j349] [j345] [j332] [j328] [j325] [j310] [j307] [c119] [j300] [j298] [j295] [j294] [j293] [j291] [p15] [p13] [j277] [j271] [j269] [j262] [j261] [j255] [j254] [c95] [c94] [c89] [j245] [j244] [j239] [j237] [j235] [j232] [j230] [j227] [j226] [j224] [c86] [c84] [c81] [c80] [c79] [c77] [c76] [j211] [c73] [c70] [c69] [c68] [c67] [c65] [c64] [c63] [c62] [c61] [c60] [j194] [j192] [j191] [j188] [j185] [j179] [j177] [c49] [c48] [c47] [c46] [c45] [j167] [j165] [j161] [j155] [j149] [c36] [j144] [j142] [j136] [j131] [j130] [j120] [j104]
Nicolino J. Pizzi
aka: Nick J. Pizzi
aka: Nick J. Pizzi
[j1284] [j1233] [j1232] [j1230] [j1198] [j1103] [c277] [c271] [c269] [c268] [d2] [d1] [i24] [c217] [c216] [c213] [p25] [p24] [e26] [j545] [j524] [j429] [j381] [c112] [c108] [c107] [c98] [c91] [c88] [j241] [j238] [j219] [j208] [j166] [j160] [j157] [j132] [j122] [j121] [c24] [j108] [c18] [c17] [c16] [c12]
Ponnuthurai N. Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
Athanasios V. Vasilakos
aka: Thanos Vasilakos
aka: Thanos Vasilakos
MengChu Zhou
aka: Mengchu Zhou
aka: Mengchu Zhou
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