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Barbara Pekala
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2020 – today
- 2024
- [j19]Teresa Mroczek
, Dorota Gil, Barbara Pekala
Fuzzy and rough approach to the problem of missing data in fall detection system. Fuzzy Sets Syst. 480: 108868 (2024) - [j18]Barbara Pekala
The effectiveness of aggregation functions used in fuzzy local contrast constructions. Fuzzy Sets Syst. 491: 109054 (2024) - [j17]Krzysztof Dyczkowski
Python library for interval-valued fuzzy inference. SoftwareX 26: 101730 (2024) - [c34]Krzysztof Dyczkowski
Sensor-Based Injury Prediction in Football Using a New Interval-Valued Fuzzy Inference Library. FUZZ 2024: 1-8 - [c33]Barbara Pékala, Piotr Grochowalski, Dawid Kosior
Applications of IFIS python library in interval-valued fuzzy inference problems. FUZZ 2024: 1-9 - [c32]Barbara Pekala, Anna Wilbik
Federated Learning with the Choquet Integral as Aggregation Method. FUZZ 2024: 1-8 - 2023
- [j16]Barbara Pekala
Early detection of the risk of depressive episodes using a proprietary diagnostic test by new epistemic similarity measures. Appl. Soft Comput. 148: 110910 (2023) - [c31]Przemyslaw Grzegorzewski
A New Look at the Entropy of Interval-Valued Fuzzy Sets - Theory and Applications. FUZZ 2023: 1-7 - [c30]Barbara Pekala, Jaroslaw Szkola, Krzysztof Dyczkowski
Federated Similarity-Based Learning with Incomplete Data. FUZZ 2023: 1-6 - [c29]Anna Wilbik
The Sugeno Integral Used for Federated Learning with Uncertainty for Unbalanced Data. FUZZ 2023: 1-6 - 2022
- [j15]Barbara Pekala
Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System. Sensors 22(4): 1602 (2022) - [c28]Krzysztof Dyczkowski
Federated learning with uncertainty on the example of a medical data. FUZZ-IEEE 2022: 1-8 - [c27]Barbara Pekala
Selection of Relevant Features Based on Optimistic and Pessimistic Similarities Measures of Interval-Valued Fuzzy Sets. IPMU (1) 2022: 307-319 - 2021
- [j14]Barbara Pekala
New transitivity of Atanassov's intuitionistic fuzzy sets in a decision making model. Int. J. Appl. Math. Comput. Sci. 31(4): 563-576 (2021) - [j13]Barbara Pekala
Interval-valued equivalence measures respecting uncertainty in image processing. Int. J. Intell. Syst. 36(6): 2767-2796 (2021) - [j12]Barbara Pekala
Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment. Inf. Sci. 547: 1182-1200 (2021) - [c26]Wieslaw Paja
Application of the Fuzzy Logic to Evaluation and Selection of Attribute Ranges in Machine Learning. FUZZ-IEEE 2021: 1-6 - [c25]Barbara Pekala
Preference and weak interval-valued operator in decision making problem. FUZZ-IEEE 2021: 1-7 - [c24]Barbara Pekala
Classification of uncertain data with a selection of relevant features based on similarities measures of Interval-Valued Fuzzy Sets. FUZZ-IEEE 2021: 1-8 - [c23]Barbara Pekala
Application of entropy measures with uncertainty in classification methods with missing data problem. FUZZ-IEEE 2021: 1-8 - 2020
- [j11]Barbara Pekala
Interval Subsethood Measures with Respect to Uncertainty for the Interval-Valued Fuzzy Setting. Int. J. Comput. Intell. Syst. 13(1): 167-177 (2020) - [c22]Urszula Bentkowska, Michal Kepski
New fuzzy local contrast measures: definitions, evaluation and comparison. FUZZ-IEEE 2020: 1-8 - [c21]Pawel Drygas
Influence of new interval-valued pre-aggregation function on medical decision making. FUZZ-IEEE 2020: 1-8 - [c20]Krzysztof Dyczkowski
The ordering methods of interval-valued fuzzy cardinal numbers with application in an uncertain decision making. FUZZ-IEEE 2020: 1-8 - [c19]Barbara Pekala
General local properties of fuzzy relations and fuzzy multisets used to an algorithm for group decision making. FUZZ-IEEE 2020: 1-8 - [c18]Barbara Pekala
Application of similarity measures with uncertainty in classification methods. FUZZ-IEEE 2020: 1-8 - [c17]Barbara Pekala
The use of concave and convex functions to optimize the feed-rate of numerically controlled machine tools. FUZZ-IEEE 2020: 1-8 - [c16]Barbara Pekala
New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers. IPMU (2) 2020: 523-536
2010 – 2019
- 2019
- [b1]Barbara Pekala
Uncertainty Data in Interval-Valued Fuzzy Set Theory - Properties, Algorithms and Applications. Studies in Fuzziness and Soft Computing 367, Springer 2019, ISBN 978-3-319-93909-4, pp. 1-156 - [j10]Urszula Bentkowska
The stability of local properties of fuzzy relations under ordinal equivalence. Inf. Sci. 491: 265-278 (2019) - [c15]Barbara Pekala
Equivalence measures for Atanassov intuitionistic fuzzy setting used to algorithm of image processing. FUZZ-IEEE 2019: 1-6 - 2018
- [j9]Barbara Pekala
Group Decision Support under Intuitionistic Fuzzy Relations: The Role of Weak Transitivity and Consistency. Int. J. Intell. Syst. 33(10): 2078-2095 (2018) - [c14]Urszula Bentkowska
Diverse Classes of Interval-Valued Aggregation Functions in Medical Diagnosis Support. IPMU (3) 2018: 391-403 - 2017
- [j8]Urszula Bentkowska
N-Reciprocity Property for Interval-Valued Fuzzy Relations with an Application to Group Decision Making Problems in Social Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(Supplement-1): 43-72 (2017) - [c13]Barbara Pekala
Compositions Consistent with the Modus Ponens Property Used in Approximate Reasoning. EUSFLAT/IWIFSGN (3) 2017: 138-149 - [c12]Barbara Pekala
General Preference Structure with Uncertainty Data Present by Interval-Valued Fuzzy Relation and Used in Decision Making Model. EUSFLAT/IWIFSGN (3) 2017: 150-161 - [c11]Urszula Bentkowska
An Equivalence Relation and Admissible Linear Orders in Decision Making. EUSFLAT/IWIFSGN (1) 2017: 187-198 - [c10]Barbara Pekala
Selection of alternatives in decision making problem with uncertainty information by generalized reciprocity. FUZZ-IEEE 2017: 1-6 - 2016
- [j7]Mikel Elkano
Composition of interval-valued fuzzy relations using aggregation functions. Inf. Sci. 369: 690-703 (2016) - [j6]Barbara Pekala
Group Decision Making Problem by General Convexity or Concavity and Aggregation Process. J. Autom. Mob. Robotics Intell. Syst. 10(4): 62-69 (2016) - [j5]Laura De Miguel, Humberto Bustince
Interval-Valued Atanassov Intuitionistic OWA Aggregations Using Admissible Linear Orders and Their Application to Decision Making. IEEE Trans. Fuzzy Syst. 24(6): 1586-1597 (2016) - 2015
- [j4]Urszula Bentkowska
Decision making with an interval-valued fuzzy preference relation and admissible orders. Appl. Soft Comput. 35: 792-801 (2015) - [c9]Barbara Pekala:
Similarity Measure Defined from Overlap Function. AGOP 2015: 205-210 - [c8]Urszula Bentkowska
Semi-properties of Atanassov Intuitionistic Fuzzy Relations. IWIFSGN@FQAS 2015: 137-147 - [c7]Barbara Pekala
Operators on intuitionistic fuzzy relations. FUZZ-IEEE 2015: 1-8 - 2014
- [c6]Barbara Pekala
Aggregation Process and Some Generalized Convexity and Concavity. IEEE Conf. on Intelligent Systems (1) 2014: 23-31 - 2012
- [j3]Barbara Pekala
Properties of Atanassov's intuitionistic fuzzy relations and Atanassov's operators. Inf. Sci. 213: 84-93 (2012) - [c5]Barbara Pekala
Certain Aspects of Decision Making Model: Intuitionistic Fuzzy Preference Relations. IPMU (2) 2012: 481-490 - 2011
- [c4]Urszula Dudziak, Barbara Pekala:
Intuitionistic fuzzy preference relations. EUSFLAT Conf. 2011: 529-536 - 2010
- [j2]Urszula Dudziak, Barbara Pekala
Equivalent bipolar fuzzy relations. Fuzzy Sets Syst. 161(2): 234-253 (2010) - [c3]Barbara Pekala
Properties of Interval-Valued Fuzzy Relations, Atanassov's Operators and Decomposable Operations. IPMU (1) 2010: 647-655
2000 – 2009
- 2009
- [c2]Barbara Pekala:
Preservation of Properties of Interval-Valued Fuzzy Relations. IFSA/EUSFLAT Conf. 2009: 1206-1210 - 2007
- [j1]Józef Drewniak, Barbara Pekala:
Properties of fuzzy relations powers. Kybernetika 43(2): 133-142 (2007) - [c1]Barbara Pekala:
Operations on Interval Matrices. RSEISP 2007: 613-621
Coauthor Index
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