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- A NON-NUMERIC APPROACH TO UNCERTAIN Department of Mathematical Sciences, Lakehead University
- On Modeling Data Mining with Granular Computing Department of Computer Science, University of Regina
- Generalization of Rough Sets Using Relationships Between Attribute Values
- Information-Theoretic Measures for Knowledge Discovery and Data Mining
- Comparison of Rough-set and Interval-set Models for Uncertain Reasoning
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- Web Intelligence: New Frontiers of Exploration Yiyu (Y.Y.) Yao
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- A Unified Framework of Granular Computing Department of Computer Science, University of Regina, Regina
- Granular Computing using Information Tables and Ning Zhong2
- Web Intelligence (WI) Research Challenges and Trends in the New Information Age
- Y.Y. Yao and Y. Zhao, Discernibility matrix simplification for constructing attribute reducts,
- Granular Computing based on Rough Sets, Quotient Space Theory, and Belief Functions
- Integrative Levels of Granularity Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S
- A Measurement-Theoretic Foundation of Rule Interestingness Evaluation
- Granular Computing: Past, Present and Future Department of Computer Science, University of Regina
- Yao, Y.Y. Three perspectives of granular computing The Proceedings, International Forum on Theory of GrC from Rough Set Perspective
- Perspectives of Granular Computing Department of Computer Science, University of Regina
- Yao, Y.Y., Granular Computing, Computer Science (Ji Suan Ji Ke Xue), Vol. 31, pp. 1-5, 2004 Proceedings of The 4th Chinese National Conference on Rough Sets and Soft Computing
- The Art of Granular Computing Department of Computer Science, University of Regina
- Concept Formation and Learning: A Cognitive Informatics Perspective
- A Multiview Approach for Intelligent Data Analysis based on Data Operators
- June 28, 2005 22:29 WSPC/Guidelines publish Level-wise Construction of Decision Trees for Classification
- A Logic Language of Granular Computing Yiyu Yao and Bing Zhou
- Structured Writing with Granular Computing Strategies
- Information Tables with Neighborhood Semantics Department of Computer Science, University of Regina
- Granular Computing using Neighborhood Systems
- Information Granulation and Rough Set Approximation
- Interval-Set Algebra for Qualitative Knowledge Representation Department of Mathematical Sciences, Lakehead University
- Interval based Uncertain Reasoning using Fuzzy and Rough Sets
- Y.Y. Yao, Three-way decisions with probabilistic rough sets, Information Sciences, Vol. 180, No. 3, pp. 341-353, 2010.
- Naive Bayesian Rough Sets Yiyu Yao and Bing Zhou
- A Note on Definability and Approximations Department of Computer Science
- Relational Interpretations of Neighborhood Operators Rough Set Approximation Operators
- On Generalizing Rough Set Theory Department of Computer Science, University of Regina
- On Generalizing Pawlak Approximation Operators
- Attribute Reduction in Decision-Theoretic Rough Set Models
- On Reduct Construction Algorithms , Yan Zhao1
- A Comparison of Two Interval-valued Probabilistic Reasoning Methods
- INFORMATION SCIENCES xx, 1xx (1994) 1 Interpretations of Belief Functions
- Yao, Y.Y., Decision-theoretic Rough Set Models (DTRSM) Computer Science (Ji Suan Ji Ke Xue), Vol. 35, No. 8A, pp. 7-8, 2008.
- A Decision Theoretic Framework for Approximating Concepts
- Three-Way Decision: An Interpretation of Rules in Rough Set Theory
- A Comparative Study of Fuzzy Sets and Rough Sets Department of Computer Science, Lakehead University
- Mining High Order Decision Rules Department of Computer Science, University of Regina
- Data Analysis and Mining in Ordered Information Tables Ying Sai, Y.Y. Yao
- Measuring Retrieval Effectiveness Based on User Preference of Documents
- Neighborhood Systems and Approximate Retrieval Department of Computer Science, University of Regina
- On Unifying Formal Concept Analysis and Rough Set Analysis
- Rough Set Approximations in Formal Concept Analysis
- A Comparative Study of Formal Concept Analysis and Rough Set Theory in Data Analysis
- Concept Lattices in Rough Set Theory Department of Computer Science, University of Regina
- Formal Concept Analysis and Hierarchical Classes Yaohua Chen, Yiyu Yao
- Formal Concept Analysis based on Hierarchical Class Analysis Yaohua Chen, Yiyu Yao
- Information Retrieval Support Systems Department of Computer Science, University of Regina
- A Three-layered Conceptual Framework of Data Mining
- Explanation Oriented Association Mining Using Rough Set Theory
- Table of Contents 1. On Mining Ordering Rules
- A Measurement-Theoretic Foundation of Rule Interestingness Evaluation Yiyu Yao, Yaohua Chen, Xuedong Yang
- A Framework for Web-based Research Support Systems Department of Computer Science, University of Regina
- Data Analysis Based on Discernibility and Indiscernibility
- Noname manuscript No. (will be inserted by the editor)
- Two Views of the Theory of Rough Sets in Finite Universes
- On Modeling Uncertainty with Interval S.K.M. Wong, L.S. Wang
- Explanation-Oriented Association Mining Using a Combination of Unsupervised and
- A Partition Model of Granular Computing Department of Computer Science, University of Regina
- Interpreting Concept Learning in Cognitive Informatics and Granular Computing
- A Step Towards the Foundations of Data Mining Department of Computer Science, University of Regina
- A Generalized Decision Logic in Interval-set-valued Information Tables
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- Probabilistic Rough Set Approximations Yiyu (Y.Y.) Yao
- Constructive and Algebraic Methods of the Theory of Rough Sets
- Rough Set Approximations in Formal Concept Analysis and Knowledge Spaces
- Information Granulation and Approximation in a Decision-theoretic Model of Rough Sets
- Interval Set Cluster Analysis: A Re-formulation , Pawan Lingras2
- Fundamenta Informaticae XXI (2010) 10011018 1001 Set-theoretic Approaches to Granular Computing
- COMBINATION OF ROUGH AND FUZZY SETS
- Mining Ordering Rules Using Rough Set Theory Y.Y. Yao and Ying Sai1
- Rough Sets, Neighborhood Systems, and Granular Computing Department of Computer Science
- Notes on Rough Set Approximations and Associated Measures
- Yao, Y.Y. and Lin, T.Y., Generalization of rough sets using modal logic, Intelligent Automation and Soft Computing, An International Journal, Vol. 2, No. 2, pp. 103-120, 1996.
- Decision-Theoretic Rough Set Models Department of Computer Science, University of Regina,
- An Analysis of Quantitative Measures Associated with Rules
- Fundamenta Informaticae (2010) Y.Y. Yao, Two semantic issues in a probabilistic rough set model, submitted to Fundamenta Informaticae, 2010. 117 1
- Generalized Rough Set Models Department of Computer Science
- A Model of Machine Learning Based on User Preference of Attributes
- A REVIEW OF ROUGH SET MODELS
- In: Wu, W., Xiong, H. and Shekhar, S. (Eds.), Information Retrieval and Clustering
- A Generalized Decision Logic Language for Granular Computing
- Probabilistic Approaches to Rough Sets Department of Computer Science
- INTERVAL STRUCTURE: A Framework for Representing Uncertain Information
- Multiview Intelligent Data Analysis based on Granular Computing
- Artificial Intelligence Perspectives on Granular Computing
- Semantics of Fuzzy Sets in Rough Set Theory Department of Computer Science
- Interval Sets and Interval-Set Algebras Department of Computer Science, University of Regina
- Yiyu Yao, Human-Inspired Granular Computing 1 Human-Inspired Granular Computing
- Interval Approaches for Uncertain Reasoning and S.K.M. Wong2
- Granular Computing: basic issues and possible solutions
- Potential Applications of Granular Computing in Knowledge Discovery and Data Mining
- 1989 (Bayesian Decision Theory)(Decision-Theoretic Rough Set ModelDTRSM)[1-5]
- granularity[33-35] abstraction[36-42]
- Sequential Three-way Decisions with Probabilistic Rough Sets Yiyu Yao and Xiaofei Deng
- Top-Down Progressive Computing Yiyu Yao and Jigang Luo