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Tetsuya Murai
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2020 – today
- 2024
- [c81]Hajime Okawa, Yasuo Kudo, Tetsuya Murai:
A Vector Is a Granule: A Novel Extension of the Variable Precision Rough Set Model. IJCRS (1) 2024: 266-282 - 2023
- [b3]Seiki Akama, Yotaro Nakayama, Tetsuya Murai:
Epistemic Situation Calculus Based on Granular Computing - A New Approach to Common-Sense Reasoning. Intelligent Systems Reference Library 239, Springer 2023, ISBN 978-3-031-28550-9, pp. 1-157 - [c80]Yotaro Nakayama, Seiki Akama, Jair Minoro Abe, Tetsuya Murai:
Annotated Logic with Rough Double Stone Algebraic Interpretation. FUZZ 2023: 1-6 - 2022
- [c79]Yotaro Nakayama, Seiki Akama, Jair Minoro Abe, Tetsuya Murai:
Four-Valued Interpretation for Paraconsistent Annotated Evidential Logic. KES-IDT 2022: 137-147 - [c78]Hajime Okawa, Yasuo Kudo, Tetsuya Murai:
Partial Discernibility Matrices for Enumerating Relative Reducts of Large Datasets. SCIS/ISIS 2022: 1-7 - 2021
- [j27]Yotaro Nakayama, Seiki Akama, Tetsuya Murai:
Many-valued tableau calculi for decision logic based on approximation regions in VPRS. Int. J. Reason. based Intell. Syst. 13(4): 235-242 (2021) - 2020
- [b2]Seiki Akama, Yasuo Kudo
, Tetsuya Murai:
Topics in Rough Set Theory - Current Applications to Granular Computing. Intelligent Systems Reference Library 168, Springer 2020, ISBN 978-3-030-29565-3, pp. 1-198 - [j26]Yotaro Nakayama, Seiki Akama, Tetsuya Murai:
Bilattice Logic for Rough Sets. J. Adv. Comput. Intell. Intell. Informatics 24(6): 774-784 (2020) - [j25]Zhipeng Zhang
Improved covering-based collaborative filtering for new users' personalized recommendations. Knowl. Inf. Syst. 62(8): 3133-3154 (2020) - [c77]Yotaro Nakayama, Seiki Akama, Tetsuya Murai:
Rough Set Logic for Kleene's Three-valued Logic. SCIS/ISIS 2020: 1-5
2010 – 2019
- 2018
- [b1]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Reasoning with Rough Sets - Logical Approaches to Granularity-Based Framework. Intelligent Systems Reference Library 142, Springer 2018, ISBN 978-3-319-72690-8, pp. 1-186 - [c76]Yotaro Nakayama, Seiki Akama, Tetsuya Murai:
Four-valued Tableau Calculi for Decision Logic of Rough Set. KES 2018: 383-392 - [c75]Yasuo Kudo, Tetsuya Murai:
An Attempt of Object Reduction in Rough Set Theory. SCIS&ISIS 2018: 33-36 - [c74]Yotaro Nakayama, Seiki Akama, Tetsuya Murai:
Four-Valued Semantics for Granular Reasoning Towards Frame Problem. SCIS&ISIS 2018: 37-42 - 2017
- [j24]Zhipeng Zhang
Neighbor selection for user-based collaborative filtering using covering-based rough sets. Ann. Oper. Res. 256(2): 359-374 (2017) - [c73]Yasuo Kudo
A Review on Rough Set-Based Interrelationship Mining. Fuzzy Sets, Rough Sets, Multisets and Clustering 2017: 257-273 - 2016
- [j23]Yasuo Kudo
Rough-Set-Based Interrelationship Mining for Incomplete Decision Tables. J. Adv. Comput. Intell. Intell. Informatics 20(5): 712-720 (2016) - [j22]Seiki Akama, Tetsuya Murai, Yasuo Kudo
Partial and paraconsistent approaches to future contingents in tense logic. Synth. 193(11): 3639-3649 (2016) - [c72]Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai:
Improvement of Item-Based Collaborative Filtering by Adding Time Factor and Covering Degree. SCIS&ISIS 2016: 543-547 - [p4]Yasuo Kudo
A Review on Rough Sets and Possible World Semantics for Modal Logics. Towards Paraconsistent Engineering 2016: 165-177 - [p3]Tetsuya Murai, Yasuo Kudo, Seiki Akama:
Paraconsistency, Chellas's Conditional Logics, and Association Rules. Towards Paraconsistent Engineering 2016: 179-196 - 2015
- [j21]Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo
Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids. J. Adv. Comput. Intell. Intell. Informatics 19(1): 43-50 (2015) - [c71]Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai:
Applying Covering-Based Rough Set Theory to User-Based Collaborative Filtering to Enhance the Quality of Recommendations. IUKM 2015: 279-289 - 2014
- [j20]Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo, Seiki Akama:
Crisp and Fuzzy Granular Hierarchical Structures Generated from a Free Monoid. J. Adv. Comput. Intell. Intell. Informatics 18(6): 929-936 (2014) - [j19]Seiki Ubukata, Tetsuya Murai, Yasuo Kudo
Variable Neighborhood Model for Agent Control Introducing Accessibility Relations Between Agents with Linear Temporal Logic. J. Adv. Comput. Intell. Intell. Informatics 18(6): 937-945 (2014) - [c70]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Da Costa logics and vagueness. GrC 2014: 1-6 - [c69]Yasuo Kudo, Tetsuya Murai:
Interrelationship mining from a viewpoint of rough sets on two universes. GrC 2014: 137-140 - [c68]Takehiro Tanaka, Tetsuya Murai, Yasuo Kudo, Seiki Akania:
Rough sets in crisp and fuzzy granular hierarchical structures. GrC 2014: 286-291 - [c67]Takehiro Tanaka, Tetsuya Murai, Yasuo Kudo, Seiki Akama:
Empty-stringizing of the false value in crisp and fuzzy granular hierarchical structures. SCIS&ISIS 2014: 993-997 - [c66]Yasuo Kudo, Tetsuya Murai:
Some properties of interrelated attributes in relative reducts for interrelationship mining. SCIS&ISIS 2014: 998-1001 - 2013
- [j18]Seiki Akama, Tetsuya Murai, Yasuo Kudo
Epistemic Logic Founded on Nonignorance. Int. J. Intell. Syst. 28(9): 883-891 (2013) - [j17]Yasuo Kudo
A Parallel Computation Method for Heuristic Attribute Reduction Using Reduced Decision Tables. J. Adv. Comput. Intell. Intell. Informatics 17(3): 371-376 (2013) - [c65]Yasuo Kudo, Yoshifumi Okada, Tetsuya Murai:
On a Possibility of Applying Interrelationship Mining to Gene Expression Data Analysis. Brain and Health Informatics 2013: 379-388 - [c64]Yasuo Kudo, Tetsuya Murai:
An attempt of hybridization of generalized dynamic reducts and a heuristic attribute reduction using reduced decision tables. FUZZ-IEEE 2013: 1-6 - [c63]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Bi-superintuitionistic logics for rough sets. GrC 2013: 10-15 - [c62]Yasuo Kudo, Tetsuya Murai:
Decision logic for rough set-based interrelationship mining. GrC 2013: 172-177 - [c61]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Heyting-Brouwer Rough Set Logic. KSE (2) 2013: 135-145 - [c60]Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo, Seiki Akama:
Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids. MDAI 2013: 248-259 - 2012
- [j16]Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Seiki Akama:
Granular hierarchical structures of finite naïve subsets and multisets based on free monoids and homomorphisms. Int. J. Reason. based Intell. Syst. 4(3): 118-128 (2012) - [c59]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Non-ignorance and knowledge. GrC 2012: 21-25 - [c58]Yasuo Kudo, Tetsuya Murai:
Indiscernibility relations by interrelationships between attributes in rough set data analysis. GrC 2012: 220-225 - [c57]Kazuhiro Omura, Mineichi Kudo
Weighted naïve Bayes classifier on categorical features. ISDA 2012: 865-870 - 2011
- [j15]Hongbin Yan, Van-Nam Huynh
On prioritized weighted aggregation in multi-criteria decision making. Expert Syst. Appl. 38(1): 812-823 (2011) - [j14]Seiki Ubukata
Autonomous agent control based on variable neighbourhoods. Int. J. Reason. based Intell. Syst. 3(1): 8-13 (2011) - [j13]Yasuo Kudo
Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes. J. Adv. Comput. Intell. Intell. Informatics 15(1): 102-109 (2011) - [c56]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Paraconsistecy in future contradictions. GrC 2011: 42-47 - [c55]Yasuo Kudo, Ken Kaneiwa, Tetsuya Murai:
An attempt of reconstruction of object-oriented rough set models. GrC 2011: 345-350 - [c54]Tetsuya Murai, Yasuo Kudo, Mayuka F. Kawaguchi, Seiki Akama:
A granular-sequence-based approach to multisets and rough sets with applications. GrC 2011: 485-489 - [c53]Seiki Ubukata
Agents' KANSEI expression based on variable neighborhood models. GrC 2011: 687-690 - 2010
- [j12]Yasuo Kudo
An Evaluation Method of Relative Reducts Based on Roughness of Partitions. Int. J. Cogn. Informatics Nat. Intell. 4(2): 50-62 (2010) - [c52]Yasuo Kudo, Tetsuya Murai:
An Attribute Reduction Algorithm by Switching Exhaustive and Heuristic Computation of Relative Reducts. GrC 2010: 265-270 - [c51]Seiki Ubukata
A Multi-agent System Based on Variable Neighborhood Model. GrC 2010: 495-498 - [c50]Yasuo Kudo, Tetsuya Murai:
On a Criterion for Evaluating the Accuracy of Approximation by Variable Precision Rough Sets. IUM 2010: 319-327 - [c49]Tetsuya Murai, Seiki Ubukata, Yasuo Kudo, Seiki Akama, Sadaaki Miyamoto:
Granularity and Approximation in Sequences, Multisets, and Sets in the Framework of Kripke Semantics. IUM 2010: 329-334 - [c48]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Uncertainty in Future: A Paraconsistent Approach. IUM 2010: 335-342
2000 – 2009
- 2009
- [j11]Yasuo Kudo
A granularity-based framework of deduction, induction, and abduction. Int. J. Approx. Reason. 50(8): 1215-1226 (2009) - [j10]Yasuo Kudo
A Modal Characterization of Visibility and Focus in Granular Reasoning. J. Adv. Comput. Intell. Intell. Informatics 13(3): 297-303 (2009) - [c47]Yasuo Kudo, Tetsuya Murai, Sadaaki Miyamoto:
On an extraction method of structural characteristics in object-oriented rough set models. GrC 2009: 312-317 - [c46]Yasuo Kudo, Tetsuya Murai:
Attribute Reduction as Calculation of Focus in Granular Reasoning. ISMVL 2009: 274-279 - [c45]Seiki Ubukata
An Agent Control Method Based on Variable Neighborhoods. KES (2) 2009: 356-363 - [c44]Yasuo Kudo, Tetsuya Murai:
A Heuristic Algorithm for Attribute Reduction Based on Discernibility and Equivalence by Attributes. MDAI 2009: 351-359 - [c43]Yasuo Kudo, Tetsuya Murai:
On a Criterion of Similarity between Partitions Based on Rough Set Theory. RSFDGrC 2009: 101-108 - 2008
- [j9]Hongbin Yan, Van-Nam Huynh
Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis. Inf. Sci. 178(21): 4080-4093 (2008) - [j8]Mineichi Kudo
Extended DNF Expression and Variable Granularity in Information Tables. IEEE Trans. Fuzzy Syst. 16(2): 285-298 (2008) - [c42]Yasuo Kudo, Tetsuya Murai:
A Note on Characteristic Combination Patterns about How to Combine Objects in Object-Oriented Rough Set Models. RSKT 2008: 115-123 - [p2]Yasuo Kudo, Tetsuya Murai, Seiki Akama:
A Unified Formulation of Deduction, Induction and Abduction Using Granularity Based on VPRS Models and Measure-Based Semantics for Modal Logics. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 280-290 - [p1]Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai:
Decision Analysis with Fuzzy Targets. Intelligent Decision Making: An AI-Based Approach 2008: 135-155 - 2007
- [j7]Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai:
An Algebraic Foundation for Linguistic Reasoning. Fundam. Informaticae 78(2): 271-294 (2007) - [c41]Yasuo Kudo, Tetsuya Murai:
Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering. RSKT 2007: 219-227 - [c40]Tetsuya Murai, Sadaaki Miyamoto, Yasuo Kudo:
A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval. RSKT 2007: 244-251 - 2006
- [j6]Yasuo Kudo
A Theoretical Formulation of Object-Oriented Rough Set Models. J. Adv. Comput. Intell. Intell. Informatics 10(5): 612-620 (2006) - [j5]Sadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo:
A Family of Polymodal Systems and its Application to Generalized Possibility Measures and Multi-Rough Sets. J. Adv. Comput. Intell. Intell. Informatics 10(5): 625-632 (2006) - [j4]Yuji Muto, Mineichi Kudo, Tetsuya Murai:
Reduction of Attribute Values for Kansei Representation. J. Adv. Comput. Intell. Intell. Informatics 10(5): 666-672 (2006) - [j3]Van-Nam Huynh
Multiple-attribute decision making under uncertainty: the evidential reasoning approach revisited. IEEE Trans. Syst. Man Cybern. Part A 36(4): 804-822 (2006) - [c39]Yasuo Kudo, Tetsuya Murai:
A Method of Generating Decision Rules in Object-Oriented Rough Set Models. RSCTC 2006: 338-347 - 2005
- [c38]Yasuo Kudo, Tetsuya Murai:
A Unified Framework of Propositional Knowledge Base Revision and Update Based on State Transition Models. IJCAI 2005: 1568-1569 - [c37]Tetsuya Murai, Yasuo Kudo:
New Logical Classes of Plausibility Functions in Dempster-Shafer Theory of Evidence. KES (4) 2005: 675-681 - [c36]Seiki Akama, Tetsuya Murai:
Rough Set Semantics for Three-Valued Logics. LAPTEC 2005: 242-247 - [c35]Tetsuya Murai, Yasuo Kudo, Seiki Akama, Jair Minoro Abe:
Paraconsistency and Paracompleteness in Chellas's Conditional Logics. LAPTEC 2005: 248-255 - [c34]Yasuo Kudo, Tetsuya Murai:
Visibility and Focus: An Extended Framework for Granular Reasoning. LAPTEC 2005: 280-287 - [c33]Hiroshi Sakai, Tetsuya Murai, Michinori Nakata:
On a Tool for Rough Non-deterministic Information Analysis and Its Perspective for Handling Numerical Data. MDAI 2005: 203-214 - [c32]Mineichi Kudo
A New Treatment and Viewpoint of Information Tables. RSFDGrC (1) 2005: 234-243 - [c31]Van-Nam Huynh, Tetsuya Murai, Tu Bao Ho, Yoshiteru Nakamori:
An Extension of Rough Approximation Quality to Fuzzy Classification. RSFDGrC (1) 2005: 373-382 - 2004
- [c30]Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai, Tu Bao Ho:
A New Approach to Belief Modeling. FoIKS 2004: 196-230 - [c29]Tetsuya Murai, Yasuo Kudo, Van-Nam Huynh, Akira Tanaka, Mineichi Kudo
A note on fuzzy granular reasoning. FUZZ-IEEE 2004: 263-268 - [c28]Yasuo Kudo, Tetsuya Murai:
Non-monotonic reasoning in prioritized knowledge bases based on granular reasoning. FUZZ-IEEE 2004: 275-280 - [c27]Yasuo Kudo, Tetsuya Murai:
A Method of Belief Base Revision for Extended Logic Programs Based on State Transition Diagrams. KES 2004: 1079-1084 - [c26]Tetsuya Murai, Masayuki Sanada, Yasuo Kudo, Yoshiharu Sato:
Monotonic and Nonmonotonic Reasoning in Zoom Reasoning Systems. KES 2004: 1085-1091 - [c25]Tetsuya Murai, Masayuki Sanada, Yasuo Kudo, Mineichi Kudo
A Note on Ziarko's Variable Precision Rough Set Model and Nonmonotonic Reasoning. Rough Sets and Current Trends in Computing 2004: 103-108 - [c24]Mineichi Kudo
A Nearest Neighbor Method Using Bisectors. SSPR/SPR 2004: 885-893 - 2003
- [c23]Tetsuya Murai, Yasuo Kudo, Yoshiharu Sato:
Association Rules and Dempster-Shafer Theory of Evidence. Discovery Science 2003: 377-384 - [c22]Tetsuya Murai, Germano Resconi, Michinori Nakata, Yoshiharu Sato:
Granular Reasoning Using Zooming In & Out. RSFDGrC 2003: 421-424 - [c21]Tetsuya Murai, Yoshiharu Sato, Germano Resconi, Michinori Nakata:
Granular Reasoning Using Zooming In & Out: Aristotle's Categorical Syllogism. RSKD 2003: 186-197 - 2002
- [c20]Tetsuya Murai, Michinori Nakata, Yoshiharu Sato:
Association Rules and Non-Classical Logics. COMPSAC 2002: 1158-1163 - [c19]Michinori Nakata, Tetsuya Murai:
Functional Dependencies in Relational Expressions Based on Or-Sets. Rough Sets and Current Trends in Computing 2002: 161-166 - 2001
- [c18]Michinori Nakata, Tetsuya Murai:
Data Dependencies Over rough Relational Expressions. FUZZ-IEEE 2001: 1543-1546 - [c17]Tetsuya Murai, Michinori Nakata, Yoshiharu Sato:
A Note on Filtration and Granular Reasoning. JSAI Workshops 2001: 385-389 - [c16]Tetsuya Murai, Michinori Nakata, Yoshiharu Sato:
A Note on Conditional Logic and Association Rules. JSAI Workshops 2001: 390-394 - 2000
- [c15]Germano Resconi, Tetsuya Murai, Michinori Nakata, Masaru Shimbo:
Semantic field: introduction. KES 2000: 483-486 - [c14]Tetsuya Murai, Germano Resconi, Masaru Shimbo:
Degrees of significance and generation of an accessibility relation. KES 2000: 487-490 - [c13]Germano Resconi, Tetsuya Murai, Masaru Shimbo:
Uncertainty and the semantic field. KES 2000: 581-584 - [c12]Tetsuya Murai, Michinori Nakata, Yoshiharu Sato:
Generation of non-transitive chains from rational-valued and real-valued fuzzy subsets under rough set theory. KES 2000: 585-588 - [c11]Germano Resconi, Tetsuya Murai, Michinori Nakata:
Semantic field as a bridge between data and decision. KES 2000: 589-593 - [c10]Michinori Nakata, Tetsuya Murai, Germano Resconi:
Handling Data with Plural Sources in Databases. Rough Sets and Current Trends in Computing 2000: 404-411
1990 – 1999
- 1999
- [c9]Yasuo Kudo, Tetsuya Murai, Tsutomu Da-te:
Iterated belief update based on ordinal conditional functions. KES 1999: 526-529 - [c8]Akihiro Kitada, Tetsuya Murai, Yoshiharu Sato:
A data structure for dynamic data mining. KES 1999: 530-533 - 1998
- [j2]Tetsuya Murai, Hideo Kanemitsu, Masaru Shimbo:
Fuzzy Sets and Binary-Proximity-Based Rough Sets. Inf. Sci. 104(1-2): 49-80 (1998) - [c7]Michinori Nakata, Germano Resconi, Tetsuya Murai:
On the treatment of imperfect information in intelligent databases. KES (3) 1998: 168-176 - [c6]Yasuo Kudo, Tetsuya Murai, Tsutomu Da-te:
The correspondence of belief changes in logical settings and the possibilistic framework. KES (2) 1998: 221-229 - [c5]Tetsuya Murai, Michinori Nakata, Masaru Shimbo:
Generation of accessible worlds under available information. KES (2) 1998: 236-242 - 1997
- [c4]Michinori Nakata, Germano Resconi, Tetsuya Murai:
Handling Imperfection in Databases: A Modal Logic Approach. DEXA 1997: 613-622 - [c3]Tetsuya Murai, Akihiro Kitada, Yoshiharu Sato:
A Revised Method for Generating Fuzzy Subsets from Tolerance Relations. ICONIP (1) 1997: 543-546 - [c2]Tetsuya Murai, Akihiro Kitada, Yoshiharu Sato:
An Application of a Way of Generating Fuzzy k-Partitions to Fuzzy Clustering. ICONIP (2) 1997: 1267-1270 - [c1]Tetsuya Murai, Akihiro Kitada, Yoshiharu Sato:
Generation of fuzzy k-partitions based on tolerance relations and maximal consistency. KES (2) 1997: 378-382
1980 – 1989
- 1988
- [j1]Tetsuya Murai, Masaaki Miyakoshi, Masaru Shimbo:
A modeling of search oriented thesaurus use based on multivalued logical inference. Inf. Sci. 45(2): 185-212 (1988)
Coauthor Index
[c81] [c78] [b2] [j25] [b1] [c75] [j24] [c73] [j23] [j22] [c72] [p4] [p3] [j21] [c71] [j20] [j19] [c70] [c69] [c68] [c67] [c66] [j18] [j17] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [j14] [j13] [c56] [c55] [c54] [c53] [j12] [c52] [c51] [c50] [c49] [c48] [j11] [j10] [c47] [c46] [c45] [c44] [c43] [c42] [p2] [c41] [c40] [j6] [j5] [c39] [c38] [c37] [c35] [c34] [c29] [c28] [c27] [c26] [c25] [c23] [c9] [c6]
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