Generalized Rough Set Model Based on Strong Symmetric Binary Relation
MA Zhou-Ming, LI Jin-Jin
Department of Mathematics and Information Science,Zhangzhou Normal University,Zhangzhou 363000 Laboratory of Granular Computing,Zhangzhou Normal University,Zhangzhou 363000
Abstract:The axiomatization is one of the most important topics in rough set theory. The definition of strong symmetric binary relation is presented by analyzing axiomatic characterizations of symmetric approximate operators. In contrast with the properties of equivalence relation, some important characteristics of the proposed binary relation are presented, and the necessary and sufficient condition for a symmetric binary relation becoming a strong symmetric one is given. The properties of corresponding generalized rough set are investigated, and the corresponding axiomatic group is studied. Utilizing of the correlation between these axioms and accurate sets, the characteristics of accurate sets in the generalized rough set based on a binary relation are discussed, and some assistance is provided to method and application of rough set theory.
马周明,李进金. 基于强对称关系的广义粗糙集模型[J]. 模式识别与人工智能, 2012, 25(4): 557-563.
MA Zhou-Ming, LI Jin-Jin. Generalized Rough Set Model Based on Strong Symmetric Binary Relation. , 2012, 25(4): 557-563.
[1] Pawlak Z.Rough Sets.International Journal of Computer and Information Sciences,1982,11(5): 341-356 [2] Wu Weizhi.Attribute Reduction Based on Evidence Theory in Incomplete Decision Systems.Information Sciences,2008,178(5): 1355-1371 [3] Zhu W.Generalized Rough Sets Based on Relation.Information Sciences,2007,177(22): 4997-5011 [4] Skowron A,Stepaniuk J.Tolerance Approximation Spaces.Fundamenta Informaticae,1996,27(2/3): 245-253 [5] Skowron A,Vanderpooten D.A Generalized Definition of Rough Approximations Based on Similarity.IEEE Trans on Knowledge and Data Engineering,2000,12(2): 331-336 [6] Li Jinjin.Topological Methods on the Theory of Covering Generalized Rough Sets.Pattern Recognition and Artificial Intelligence,2004,17(1): 7-10 (in Chinese) (李进金.覆盖广义粗集理论中的拓扑学方法.模式识别与人工智能,2004,17(1): 7-10) [7] Yao Y Y.Constructive and Algebraic Methods of the Theory of Rough Sets.Journal of Information Sciences,1998,109(1/2/3/4): 21-47 [8] Yao Y Y.Two Views of the Theory of Rough Sets in Finite Universes.International Journal of Approximate Reasoning,1996,15(4): 291-317