Yasuo Kudo

According to our database, Yasuo Kudo authored at least 80 papers between 1986 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Educational Recommendation System Utilizing Learning Styles: A Systematic Literature Review.

Vivat Thongchotchat, Yasuo Kudo, Yoshifumi Okada, Kazuhiko Sato

IEEE Access, 2023

2022

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

Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yasuo Kudo

IEEE Trans. Serv. Comput., 2022

Partial Discernibility Matrices for Enumerating Relative Reducts of Large Datasets.

Hajime Okawa, Yasuo Kudo, Tetsuya Murai

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

2020

Topics in Rough Set Theory - Current Applications to Granular Computing

Seiki Akama, Yasuo Kudo, Tetsuya Murai

Intelligent Systems Reference Library 168, Springer, ISBN: 978-3-030-29565-3, 2020

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

Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yasuo Kudo

IEEE Trans. Comput. Soc. Syst., 2020

Improved covering-based collaborative filtering for new users' personalized recommendations.

Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai, Yonggong Ren

Knowl. Inf. Syst., 2020

2018

Reasoning with Rough Sets - Logical Approaches to Granularity-Based Framework

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Intelligent Systems Reference Library 142, Springer, ISBN: 978-3-319-72690-8, 2018

An Attempt of Object Reduction in Rough Set Theory.

Yasuo Kudo, Tetsuya Murai

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Investigations of Interests that are Induced by Remarkers and Their Remarks for Item Advertisements Based on Influencer's Recommendation.

Komei Arasawa, Shun Hattori, Yasuo Kudo

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

2017

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

Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai

Ann. Oper. Res., 2017

A Review on Rough Set-Based Interrelationship Mining.

Yasuo Kudo, Tetsuya Murai

Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017

2016

Paraconsistency, Chellas's Conditional Logics, and Association Rules.

Tetsuya Murai, Yasuo Kudo, Seiki Akama

Proceedings of the Towards Paraconsistent Engineering, 2016

A Review on Rough Sets and Possible World Semantics for Modal Logics.

Yasuo Kudo, Tetsuya Murai, Seiki Akama

Proceedings of the Towards Paraconsistent Engineering, 2016

Partial and paraconsistent approaches to future contingents in tense logic.

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Synth., 2016

Rough-Set-Based Interrelationship Mining for Incomplete Decision Tables.

Yasuo Kudo, Tetsuya Murai

J. Adv. Comput. Intell. Intell. Informatics, 2016

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

Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

2015

Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids.

Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo, Seiki Akama

J. Adv. Comput. Intell. Intell. Informatics, 2015

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

Zhipeng Zhang, Yasuo Kudo, Tetsuya Murai

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

2014

Variable Neighborhood Model for Agent Control Introducing Accessibility Relations Between Agents with Linear Temporal Logic.

Seiki Ubukata, Tetsuya Murai, Yasuo Kudo, Seiki Akama

J. Adv. Comput. Intell. Intell. Informatics, 2014

Crisp and Fuzzy Granular Hierarchical Structures Generated from a Free Monoid.

Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo, Seiki Akama

J. Adv. Comput. Intell. Intell. Informatics, 2014

Empty-stringizing of the false value in crisp and fuzzy granular hierarchical structures.

Takehiro Tanaka, Tetsuya Murai, Yasuo Kudo, Seiki Akama

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Some properties of interrelated attributes in relative reducts for interrelationship mining.

Yasuo Kudo, Tetsuya Murai

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Rough sets in crisp and fuzzy granular hierarchical structures.

Takehiro Tanaka, Tetsuya Murai, Yasuo Kudo, Seiki Akania

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Interrelationship mining from a viewpoint of rough sets on two universes.

Yasuo Kudo, Tetsuya Murai

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Da Costa logics and vagueness.

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

2013

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

Yasuo Kudo, Tetsuya Murai

J. Adv. Comput. Intell. Intell. Informatics, 2013

Introduction to Special Issue on "Foundations and Applications of Granular Computing".

Tsau-Young Lin, Yasuo Kudo, Sadaaki Miyamoto

Int. J. Intell. Syst., 2013

Epistemic Logic Founded on Nonignorance.

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Int. J. Intell. Syst., 2013

Recommendation of a Cloud Service Item Based on Service Utilization Patterns in Jyaguchi.

Shree Krishna Shrestha, Yasuo Kudo, Bishnu Prasad Gautam, Dipesh Shrestha

Proceedings of the Knowledge and Systems Engineering, 2013

Heyting-Brouwer Rough Set Logic.

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Proceedings of the Knowledge and Systems Engineering, 2013

Decision logic for rough set-based interrelationship mining.

Yasuo Kudo, Tetsuya Murai

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

Bi-superintuitionistic logics for rough sets.

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

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

Yasuo Kudo, Tetsuya Murai

Proceedings of the FUZZ-IEEE 2013, 2013

On a Possibility of Applying Interrelationship Mining to Gene Expression Data Analysis.

Yasuo Kudo, Yoshifumi Okada, Tetsuya Murai

Proceedings of the Brain and Health Informatics - International Conference, 2013

2012

A revised approach to solving the symbolic value partition problem from a viewpoint of roughness of partitions.

Yasuo Kudo

Int. J. Reason. based Intell. Syst., 2012

Indiscernibility relations by interrelationships between attributes in rough set data analysis.

Yasuo Kudo, Tetsuya Murai

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Non-ignorance and knowledge.

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011

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

Yasuo Kudo, Tetsuya Murai

J. Adv. Comput. Intell. Intell. Informatics, 2011

Autonomous agent control based on variable neighbourhoods.

Seiki Ubukata, Yasuo Kudo, Tetsuya Murai

Int. J. Reason. based Intell. Syst., 2011

A sequential pattern mining algorithm using rough set theory.

Ken Kaneiwa, Yasuo Kudo

Int. J. Approx. Reason., 2011

Agents' KANSEI expression based on variable neighborhood models.

Seiki Ubukata, Tetsuya Murai, Yasuo Kudo

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

A granular-sequence-based approach to multisets and rough sets with applications.

Tetsuya Murai, Yasuo Kudo, Mayuka F. Kawaguchi, Seiki Akama

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

An attempt of reconstruction of object-oriented rough set models.

Yasuo Kudo, Ken Kaneiwa, Tetsuya Murai

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Paraconsistecy in future contradictions.

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2010

An Evaluation Method of Relative Reducts Based on Roughness of Partitions.

Yasuo Kudo, Tetsuya Murai

Int. J. Cogn. Informatics Nat. Intell., 2010

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

Shusaku Nomura, Handri Santoso, Yasuo Kudo

Proceedings of the IEEE International Conference on Systems, 2010

Granularity and Approximation in Sequences, Multisets, and Sets in the Framework of Kripke Semantics.

Tetsuya Murai, Seiki Ubukata, Yasuo Kudo, Seiki Akama, Sadaaki Miyamoto

Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

On a Criterion for Evaluating the Accuracy of Approximation by Variable Precision Rough Sets.

Yasuo Kudo, Tetsuya Murai

Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

Uncertainty in Future: A Paraconsistent Approach.

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

A Multi-agent System Based on Variable Neighborhood Model.

Seiki Ubukata, Yasuo Kudo, Tetsuya Murai

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

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

Yasuo Kudo, Tetsuya Murai

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Local Pattern Mining from Sequences Using Rough Set Theory.

Ken Kaneiwa, Yasuo Kudo

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

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

Shusaku Nomura, Yasuo Kudo

J. Adv. Comput. Intell. Intell. Informatics, 2009

A Modal Characterization of Visibility and Focus in Granular Reasoning.

Yasuo Kudo, Tetsuya Murai

J. Adv. Comput. Intell. Intell. Informatics, 2009

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

Yasuo Kudo, Tetsuya Murai, Seiki Akama

Int. J. Approx. Reason., 2009

On a Criterion of Similarity between Partitions Based on Rough Set Theory.

Yasuo Kudo, Tetsuya Murai

Proceedings of the Rough Sets, 2009

A Heuristic Algorithm for Attribute Reduction Based on Discernibility and Equivalence by Attributes.

Yasuo Kudo, Tetsuya Murai

Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

An Agent Control Method Based on Variable Neighborhoods.

Seiki Ubukata, Yasuo Kudo, Tetsuya Murai

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

Attribute Reduction as Calculation of Focus in Granular Reasoning.

Yasuo Kudo, Tetsuya Murai

Proceedings of the ISMVL 2009, 2009

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

Yasuo Kudo, Tetsuya Murai, Sadaaki Miyamoto

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2008

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

Yasuo Kudo, Tetsuya Murai, Seiki Akama

Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

A Note on Characteristic Combination Patterns about How to Combine Objects in Object-Oriented Rough Set Models.

Yasuo Kudo, Tetsuya Murai

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

2007

A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval.

Tetsuya Murai, Sadaaki Miyamoto, Yasuo Kudo

Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering.

Yasuo Kudo, Tetsuya Murai

Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

2006

A Family of Polymodal Systems and its Application to Generalized Possibility Measures and Multi-Rough Sets.

Sadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo

J. Adv. Comput. Intell. Intell. Informatics, 2006

A Theoretical Formulation of Object-Oriented Rough Set Models.

Yasuo Kudo, Tetsuya Murai

J. Adv. Comput. Intell. Intell. Informatics, 2006

A Method of Generating Decision Rules in Object-Oriented Rough Set Models.

Yasuo Kudo, Tetsuya Murai

Proceedings of the Rough Sets and Current Trends in Computing, 2006

2005

Paraconsistency and Paracompleteness in Chellas's Conditional Logics.

Tetsuya Murai, Yasuo Kudo, Seiki Akama, Jair Minoro Abe

Proceedings of the Advances in Logic Based Intelligent Systems, 2005

Visibility and Focus: An Extended Framework for Granular Reasoning.

Yasuo Kudo, Tetsuya Murai

Proceedings of the Advances in Logic Based Intelligent Systems, 2005

New Logical Classes of Plausibility Functions in Dempster-Shafer Theory of Evidence.

Tetsuya Murai, Yasuo Kudo

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

A Unified Framework of Propositional Knowledge Base Revision and Update Based on State Transition Models.

Yasuo Kudo, Tetsuya Murai

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004

A Note on Ziarko's Variable Precision Rough Set Model and Nonmonotonic Reasoning.

Tetsuya Murai, Masayuki Sanada, Yasuo Kudo, Mineichi Kudo

Proceedings of the Rough Sets and Current Trends in Computing, 2004

Monotonic and Nonmonotonic Reasoning in Zoom Reasoning Systems.

Tetsuya Murai, Masayuki Sanada, Yasuo Kudo, Yoshiharu Sato

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

A Method of Belief Base Revision for Extended Logic Programs Based on State Transition Diagrams.

Yasuo Kudo, Tetsuya Murai

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

A note on fuzzy granular reasoning.

Tetsuya Murai, Yasuo Kudo, Van-Nam Huynh, Akira Tanaka, Mineichi Kudo

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Non-monotonic reasoning in prioritized knowledge bases based on granular reasoning.

Yasuo Kudo, Tetsuya Murai

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003

Association Rules and Dempster-Shafer Theory of Evidence.

Tetsuya Murai, Yasuo Kudo, Yoshiharu Sato

Proceedings of the Discovery Science, 6th International Conference, 2003

1999

Iterated belief update based on ordinal conditional functions.

Yasuo Kudo, Tetsuya Murai, Tsutomu Da-te

Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

1998

The correspondence of belief changes in logical settings and the possibilistic framework.

Yasuo Kudo, Tetsuya Murai, Tsutomu Da-te

Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

1986

Traffic flow measurement system using image processing.

Yasuo Kudo

Syst. Comput. Jpn., 1986