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2020 – today
- 2024
[c53]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
- [j24]Vivat Thongchotchat, Yasuo Kudo
, Yoshifumi Okada, Kazuhiko Sato:
Educational Recommendation System Utilizing Learning Styles: A Systematic Literature Review. IEEE Access 11: 8988-8999 (2023) - 2022
- [j23]Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yasuo Kudo:
Context-Enhanced Probabilistic Diffusion for Urban Point-of-Interest Recommendation. IEEE Trans. Serv. Comput. 15(6): 3156-3169 (2022) - [c52]Hajime Okawa, Yasuo Kudo, Tetsuya Murai:
Partial Discernibility Matrices for Enumerating Relative Reducts of Large Datasets. SCIS/ISIS 2022: 1-7 - 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 - [j22]Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai, Yonggong Ren:
Improved covering-based collaborative filtering for new users' personalized recommendations. Knowl. Inf. Syst. 62(8): 3133-3154 (2020) - [j21]Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yasuo Kudo:
Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network. IEEE Trans. Comput. Soc. Syst. 7(3): 672-685 (2020)
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 - [c51]Yasuo Kudo, Tetsuya Murai:
An Attempt of Object Reduction in Rough Set Theory. SCIS&ISIS 2018: 33-36 - [c50]Komei Arasawa, Shun Hattori, Yasuo Kudo:
Investigations of Interests that are Induced by Remarkers and Their Remarks for Item Advertisements Based on Influencer's Recommendation. SCIS&ISIS 2018: 789-795 - 2017
- [j20]Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai:
Neighbor selection for user-based collaborative filtering using covering-based rough sets. Ann. Oper. Res. 256(2): 359-374 (2017) - [c49]Yasuo Kudo, Tetsuya Murai:
A Review on Rough Set-Based Interrelationship Mining. Fuzzy Sets, Rough Sets, Multisets and Clustering 2017: 257-273 - 2016
- [j19]Yasuo Kudo, Tetsuya Murai:
Rough-Set-Based Interrelationship Mining for Incomplete Decision Tables. J. Adv. Comput. Intell. Intell. Informatics 20(5): 712-720 (2016) - [j18]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Partial and paraconsistent approaches to future contingents in tense logic. Synth. 193(11): 3639-3649 (2016) - [c48]Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai:
Improvement of Item-Based Collaborative Filtering by Adding Time Factor and Covering Degree. SCIS&ISIS 2016: 543-547 - [p3]Yasuo Kudo, Tetsuya Murai, Seiki Akama:
A Review on Rough Sets and Possible World Semantics for Modal Logics. Towards Paraconsistent Engineering 2016: 165-177 - [p2]Tetsuya Murai, Yasuo Kudo, Seiki Akama:
Paraconsistency, Chellas's Conditional Logics, and Association Rules. Towards Paraconsistent Engineering 2016: 179-196 - 2015
- [j17]Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo, Seiki Akama:
Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids. J. Adv. Comput. Intell. Intell. Informatics 19(1): 43-50 (2015) - [c47]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
- [j16]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) - [j15]Seiki Ubukata, Tetsuya Murai, Yasuo Kudo, Seiki Akama:
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) - [c46]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Da Costa logics and vagueness. GrC 2014: 1-6 - [c45]Yasuo Kudo, Tetsuya Murai:
Interrelationship mining from a viewpoint of rough sets on two universes. GrC 2014: 137-140 - [c44]Takehiro Tanaka, Tetsuya Murai, Yasuo Kudo, Seiki Akania:
Rough sets in crisp and fuzzy granular hierarchical structures. GrC 2014: 286-291 - [c43]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 - [c42]Yasuo Kudo, Tetsuya Murai:
Some properties of interrelated attributes in relative reducts for interrelationship mining. SCIS&ISIS 2014: 998-1001 - 2013
- [j14]Tsau-Young Lin, Yasuo Kudo, Sadaaki Miyamoto:
Introduction to Special Issue on "Foundations and Applications of Granular Computing". Int. J. Intell. Syst. 28(9): 841-842 (2013) - [j13]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Epistemic Logic Founded on Nonignorance. Int. J. Intell. Syst. 28(9): 883-891 (2013) - [j12]Yasuo Kudo, Tetsuya Murai:
A Parallel Computation Method for Heuristic Attribute Reduction Using Reduced Decision Tables. J. Adv. Comput. Intell. Intell. Informatics 17(3): 371-376 (2013) - [c41]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 - [c40]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 - [c39]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Bi-superintuitionistic logics for rough sets. GrC 2013: 10-15 - [c38]Yasuo Kudo, Tetsuya Murai:
Decision logic for rough set-based interrelationship mining. GrC 2013: 172-177 - [c37]Shree Krishna Shrestha, Yasuo Kudo, Bishnu Prasad Gautam, Dipesh Shrestha:
Recommendation of a Cloud Service Item Based on Service Utilization Patterns in Jyaguchi. KSE (2) 2013: 121-133 - [c36]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Heyting-Brouwer Rough Set Logic. KSE (2) 2013: 135-145 - [c35]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
- [j11]Yasuo Kudo:
A revised approach to solving the symbolic value partition problem from a viewpoint of roughness of partitions. Int. J. Reason. based Intell. Syst. 4(3): 129-139 (2012) - [c34]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Non-ignorance and knowledge. GrC 2012: 21-25 - [c33]Yasuo Kudo, Tetsuya Murai:
Indiscernibility relations by interrelationships between attributes in rough set data analysis. GrC 2012: 220-225 - 2011
- [j10]Ken Kaneiwa, Yasuo Kudo:
A sequential pattern mining algorithm using rough set theory. Int. J. Approx. Reason. 52(6): 881-893 (2011) - [j9]Seiki Ubukata, Yasuo Kudo, Tetsuya Murai:
Autonomous agent control based on variable neighbourhoods. Int. J. Reason. based Intell. Syst. 3(1): 8-13 (2011) - [j8]Yasuo Kudo, Tetsuya Murai:
Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes. J. Adv. Comput. Intell. Intell. Informatics 15(1): 102-109 (2011) - [c32]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Paraconsistecy in future contradictions. GrC 2011: 42-47 - [c31]Yasuo Kudo, Ken Kaneiwa, Tetsuya Murai:
An attempt of reconstruction of object-oriented rough set models. GrC 2011: 345-350 - [c30]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 - [c29]Seiki Ubukata, Tetsuya Murai, Yasuo Kudo:
Agents' KANSEI expression based on variable neighborhood models. GrC 2011: 687-690 - [e1]Tzung-Pei Hong, Yasuo Kudo, Mineichi Kudo, Tsau Young Lin, Been-Chian Chien, Shyue-Liang Wang, Masahiro Inuiguchi, Guilong Liu:
2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011. IEEE Computer Society 2011, ISBN 978-1-4577-0372-0 [contents] - 2010
- [j7]Yasuo Kudo, Tetsuya Murai:
An Evaluation Method of Relative Reducts Based on Roughness of Partitions. Int. J. Cogn. Informatics Nat. Intell. 4(2): 50-62 (2010) - [c28]Ken Kaneiwa, Yasuo Kudo:
Local Pattern Mining from Sequences Using Rough Set Theory. GrC 2010: 247-252 - [c27]Yasuo Kudo, Tetsuya Murai:
An Attribute Reduction Algorithm by Switching Exhaustive and Heuristic Computation of Relative Reducts. GrC 2010: 265-270 - [c26]Seiki Ubukata, Yasuo Kudo, Tetsuya Murai:
A Multi-agent System Based on Variable Neighborhood Model. GrC 2010: 495-498 - [c25]Yasuo Kudo, Tetsuya Murai:
On a Criterion for Evaluating the Accuracy of Approximation by Variable Precision Rough Sets. IUM 2010: 319-327 - [c24]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 - [c23]Seiki Akama, Tetsuya Murai, Yasuo Kudo:
Uncertainty in Future: A Paraconsistent Approach. IUM 2010: 335-342 - [c22]Shusaku Nomura, Handri Santoso, Yasuo Kudo:
Data mining the relationship between psychological and physiological stress measurement using rough set analysis. SMC 2010: 3622-3627
2000 – 2009
- 2009
- [j6]Yasuo Kudo, Tetsuya Murai, Seiki Akama:
A granularity-based framework of deduction, induction, and abduction. Int. J. Approx. Reason. 50(8): 1215-1226 (2009) - [j5]Yasuo Kudo, Tetsuya Murai:
A Modal Characterization of Visibility and Focus in Granular Reasoning. J. Adv. Comput. Intell. Intell. Informatics 13(3): 297-303 (2009) - [j4]Shusaku Nomura, Yasuo Kudo:
An Application of Rough Set Analysis toa Psycho-Physiological Study - Assessing the Relation Between Psychological Scale and Immunological Biomarker. J. Adv. Comput. Intell. Intell. Informatics 13(4): 352-359 (2009) - [c21]Yasuo Kudo, Tetsuya Murai, Sadaaki Miyamoto:
On an extraction method of structural characteristics in object-oriented rough set models. GrC 2009: 312-317 - [c20]Yasuo Kudo, Tetsuya Murai:
Attribute Reduction as Calculation of Focus in Granular Reasoning. ISMVL 2009: 274-279 - [c19]Seiki Ubukata, Yasuo Kudo, Tetsuya Murai:
An Agent Control Method Based on Variable Neighborhoods. KES (2) 2009: 356-363 - [c18]Yasuo Kudo, Tetsuya Murai:
A Heuristic Algorithm for Attribute Reduction Based on Discernibility and Equivalence by Attributes. MDAI 2009: 351-359 - [c17]Yasuo Kudo, Tetsuya Murai:
On a Criterion of Similarity between Partitions Based on Rough Set Theory. RSFDGrC 2009: 101-108 - 2008
- [c16]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 - [p1]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 - 2007
- [c15]Yasuo Kudo, Tetsuya Murai:
Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering. RSKT 2007: 219-227 - [c14]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
- [j3]Yasuo Kudo, Tetsuya Murai:
A Theoretical Formulation of Object-Oriented Rough Set Models. J. Adv. Comput. Intell. Intell. Informatics 10(5): 612-620 (2006) - [j2]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) - [c13]Yasuo Kudo, Tetsuya Murai:
A Method of Generating Decision Rules in Object-Oriented Rough Set Models. RSCTC 2006: 338-347 - 2005
- [c12]Yasuo Kudo, Tetsuya Murai:
A Unified Framework of Propositional Knowledge Base Revision and Update Based on State Transition Models. IJCAI 2005: 1568-1569 - [c11]Tetsuya Murai, Yasuo Kudo:
New Logical Classes of Plausibility Functions in Dempster-Shafer Theory of Evidence. KES (4) 2005: 675-681 - [c10]Tetsuya Murai, Yasuo Kudo, Seiki Akama, Jair Minoro Abe:
Paraconsistency and Paracompleteness in Chellas's Conditional Logics. LAPTEC 2005: 248-255 - [c9]Yasuo Kudo, Tetsuya Murai:
Visibility and Focus: An Extended Framework for Granular Reasoning. LAPTEC 2005: 280-287 - 2004
- [c8]Tetsuya Murai, Yasuo Kudo, Van-Nam Huynh, Akira Tanaka, Mineichi Kudo:
A note on fuzzy granular reasoning. FUZZ-IEEE 2004: 263-268 - [c7]Yasuo Kudo, Tetsuya Murai:
Non-monotonic reasoning in prioritized knowledge bases based on granular reasoning. FUZZ-IEEE 2004: 275-280 - [c6]Yasuo Kudo, Tetsuya Murai:
A Method of Belief Base Revision for Extended Logic Programs Based on State Transition Diagrams. KES 2004: 1079-1084 - [c5]Tetsuya Murai, Masayuki Sanada, Yasuo Kudo, Yoshiharu Sato:
Monotonic and Nonmonotonic Reasoning in Zoom Reasoning Systems. KES 2004: 1085-1091 - [c4]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 - 2003
- [c3]Tetsuya Murai, Yasuo Kudo, Yoshiharu Sato:
Association Rules and Dempster-Shafer Theory of Evidence. Discovery Science 2003: 377-384
1990 – 1999
- 1999
- [c2]Yasuo Kudo, Tetsuya Murai, Tsutomu Da-te:
Iterated belief update based on ordinal conditional functions. KES 1999: 526-529 - 1998
- [c1]Yasuo Kudo, Tetsuya Murai, Tsutomu Da-te:
The correspondence of belief changes in logical settings and the possibilistic framework. KES (2) 1998: 221-229
1980 – 1989
- 1986
- [j1]Yasuo Kudo:
Traffic flow measurement system using image processing. Syst. Comput. Jpn. 17(1): 62-72 (1986)
Coauthor Index
[c53] [c52] [b2] [j22] [b1] [c51] [j20] [c49] [j19] [j18] [c48] [p3] [p2] [j17] [c47] [j16] [j15] [c46] [c45] [c44] [c43] [c42] [j13] [j12] [c41] [c40] [c39] [c38] [c36] [c35] [c34] [c33] [j9] [j8] [c32] [c31] [c30] [c29] [j7] [c27] [c26] [c25] [c24] [c23] [j6] [j5] [c21] [c20] [c19] [c18] [c17] [c16] [p1] [c15] [c14] [j3] [j2] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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last updated on 2024-08-08 19:15 CEST by the dblp team
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