Y. Kudo

Tetsuya Murai, Yasuo Kudo, T. Murai, 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

Proposal of a Recommendation Method by Direct Setting of Preference Patterns Based on Interrelationship Mining

Tetsuya Murai, Yasuo Kudo, Masashi Kuroda, 2018 .

Recommendation Method Based on Interelationship Mining and Collaborative Filtering

Tetsuya Murai, Yasuo Kudo, Junichi Yamawaki, 2018 .

Interrelationship mining from a viewpoint of rough sets on two universes

Tetsuya Murai, Yasuo Kudo, T. Murai, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Rough sets in crisp and fuzzy granular hierarchical structures

Tetsuya Murai, Yasuo Kudo, Takehiro Tanaka, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Da Costa logics and vagueness

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Some properties of interrelated attributes in relative reducts for interrelationship mining

Tetsuya Murai, Yasuo Kudo, T. Murai, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Decision logic for rough set-based interrelationship mining

Tetsuya Murai, Yasuo Kudo, T. Murai, 2013, 2013 IEEE International Conference on Granular Computing (GrC).

Bi-superintuitionistic logics for rough sets

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2013, 2013 IEEE International Conference on Granular Computing (GrC).

An attempt of hybridization of generalized dynamic reducts and a heuristic attribute reduction using reduced decision tables

Tetsuya Murai, Yasuo Kudo, T. Murai, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Indiscernibility relations by interrelationships between attributes in rough set data analysis

Tetsuya Murai, Yasuo Kudo, T. Murai, 2012, 2012 IEEE International Conference on Granular Computing.

An attempt of reconstruction of object-oriented rough set models

Tetsuya Murai, Yasuo Kudo, Ken Kaneiwa, 2011, 2011 IEEE International Conference on Granular Computing.

A sequential pattern mining algorithm using rough set theory

Yasuo Kudo, Ken Kaneiwa, Y. Kudo, 2011, Int. J. Approx. Reason..

Gene Expression Data Analysis Using Heuristic Attribute Reduction in Rough Set Theory

Yasuo Kudo, Yoshifumi Okada, Yoshifumi Okada, 2010, SOCO 2010.

Data mining the relationship between psychological and physiological stress measurement using rough set analysis

Shusaku Nomura, Yasuo Kudo, Handri Santoso, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

An Attribute Reduction Algorithm by Switching Exhaustive and Heuristic Computation of Relative Reducts

Tetsuya Murai, Yasuo Kudo, T. Murai, 2010, 2010 IEEE International Conference on Granular Computing.

Local Pattern Mining from Sequences Using Rough Set Theory

Yasuo Kudo, Ken Kaneiwa, Y. Kudo, 2010, 2010 IEEE International Conference on Granular Computing.

On an extraction method of structural characteristics in object-oriented rough set models

Sadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo, 2009, 2009 IEEE International Conference on Granular Computing.

A granularity-based framework of deduction, induction, and abduction

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2009, Int. J. Approx. Reason..

Attribute Reduction as Calculation of Focus in Granular Reasoning

Tetsuya Murai, Yasuo Kudo, T. Murai, 2009, 2009 39th International Symposium on Multiple-Valued Logic.

An Application of Rough Set Analysis toa Psycho-Physiological Study - Assessing the Relation Between Psychological Scale and Immunological Biomarker

Shusaku Nomura, Yasuo Kudo, S. Nomura, 2008, J. Adv. Comput. Intell. Intell. Informatics.

Rough set analysis on the relation between human psychological mood state and the immune function

Y. Kudo, S. Nomura, Y. Kudo, 2008, 2008 IEEE Conference on Soft Computing in Industrial Applications.

A SIMPLE RECOMMENDATION SYSTEM BASED ON ROUGH SET THEORY

Tetsuya Murai, Yasuo Kudo, Takahiro Seino, 2006 .

A Note on Treatment of Incomplete Information in Object--Oriented Rough Sets

Tetsuya Murai, Yasuo Kudo, T. Murai, 2006 .

A Note on Granular Reasoning and Semantics of Four‐Valued Logics

Tetsuya Murai, Yasuo Kudo, T. Murai, 2006 .

Educational Recommendation System Utilizing Learning Styles: A Systematic Literature Review

Yoshifumi Okada, Y. Kudo, Kazuhiko Sato, 2023, IEEE Access.

Monotonic and Nonmonotonic Reasoning in Zoom Reasoning Systems

Tetsuya Murai, Yasuo Kudo, Yoshiharu Sato, 2004, KES.

A note on fuzzy granular reasoning

Akira Tanaka, Tetsuya Murai, Yasuo Kudo, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Overview of Rough Set Theory

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2019, Intelligent Systems Reference Library.

A Unified Formulation of Deduction, Induction and Abduction Using Granularity Based on VPRS Models and Measure-Based Semantics for Modal Logics

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2008, Interval / Probabilistic Uncertainty and Non-Classical Logics.

Improved covering-based collaborative filtering for new users’ personalized recommendations

T. Murai, Y. Kudo, Zhipeng Zhang, 2020, Knowledge and Information Systems.

Enhancing Recommendation Accuracy of Item-Based Collaborative Filtering via Item-Variance Weighting

Tetsuya Murai, Yasuo Kudo, Zhipeng Zhang, 2019, Applied Sciences.

Addressing Complete New Item Cold-Start Recommendation: A Niche Item-Based Collaborative Filtering via Interrelationship Mining

Zhipeng Zhang, Tetsuya Murai, Yasuo Kudo, 2019, Applied Sciences.

Neighbor selection for user-based collaborative filtering using covering-based rough sets

Zhipeng Zhang, Tetsuya Murai, Yasuo Kudo, 2017, Ann. Oper. Res..

Improvement of Item-Based Collaborative Filtering by Adding Time Factor and Covering Degree

Zhipeng Zhang, Tetsuya Murai, Yasuo Kudo, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

Applying Covering-Based Rough Set Theory to User-Based Collaborative Filtering to Enhance the Quality of Recommendations

Zhipeng Zhang, Tetsuya Murai, Yasuo Kudo, 2015, IUKM.

Epistemic Logic Founded on Nonignorance

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2013, Int. J. Intell. Syst..

Recommendation Method by Direct Setting of Preference Patterns Based on Interrelationship Mining

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2019, Intelligent Systems Reference Library.

Introduction

Y. Kudo, S. Akama, Tetsuya Murai, 2019, Intelligent Systems Reference Library.

Rough-Set-Based Interrelationship Mining for Incomplete Decision Tables

Tetsuya Murai, Yasuo Kudo, T. Murai, 2016, J. Adv. Comput. Intell. Intell. Informatics.

A Parallel Computation Method for Heuristic Attribute Reduction Using Reduced Decision Tables

Tetsuya Murai, Yasuo Kudo, T. Murai, 2013, J. Adv. Comput. Intell. Intell. Informatics.

Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes

Tetsuya Murai, Yasuo Kudo, T. Murai, 2011, J. Adv. Comput. Intell. Intell. Informatics.

An Evaluation Method of Relative Reducts Based on Roughness of Partitions

Tetsuya Murai, Yasuo Kudo, T. Murai, 2010, Int. J. Cogn. Informatics Nat. Intell..

A Modal Characterization of Visibility and Focus in Granular Reasoning

Tetsuya Murai, Yasuo Kudo, T. Murai, 2009, J. Adv. Comput. Intell. Intell. Informatics.

Directions for Future Work in Rough Set Theory

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2019, Intelligent Systems Reference Library.

Granular Computing and Aristotle’s Categorical Syllogism

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2019, Intelligent Systems Reference Library.

Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network

Kaoru Ota, Mianxiong Dong, Zhipeng Zhang, 2020, IEEE Transactions on Computational Social Systems.

Uncertainty in Future: A Paraconsistent Approach

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2010, IUM.

Non-ignorance and knowledge

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2012, 2012 IEEE International Conference on Granular Computing.

Non-classical Logics

Tetsuya Murai, Yasuo Kudo, Seiki Akama, 2018 .

Context-Enhanced Probabilistic Diffusion for Urban Point-of-Interest Recommendation

Kaoru Ota, Yasuo Kudo, Mianxiong Dong, 2021, IEEE Transactions on Services Computing.