Variable precision rough set model
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CSC '88 Proceedings of the 1988 ACM sixteenth annual conference on Computer science
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Data Mining and Machine Oriented Modeling: A Granular Computing Approach
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Rough Sets: Mathematical Foundations
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Table representations of granulations revisited
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Granulations Based on Semantics of Rough Logical Formulas and Its Reasoning
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Granular Sets --- Foundations and Case Study of Tolerance Spaces
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
On definability of sets in dominance-based approximation space
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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International Journal of Cognitive Informatics and Natural Intelligence
Unifying Rough Set Theories via Large Scaled Granular Computing
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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Granular Computing (GrC) operates with granules (generalized subsets) of data as pieces of basic knowledge. Rough Set Theory (RST) is a leading special case of GrC approach. In this paper, we outline a roadmap that stepwise refines RST into GrC. A prime illustration is that GrC of symmetric binary relations is a complete topological RST on granular spaces, where the adjective complete means that the representation theory can fully reflect the structure theory