Attribute Reduction in Random Information Systems with Fuzzy Decisions
Knowledge reduction is one of the main problems in the study of rough set theory. This paper deals with knowledge reduction in the sense of reducing attributes in random information systems with fuzzy decisions based on the Dempster-Shafer theory of evidence. The concepts of lower approximation reducts, upper approximation reducts, random belief reducts and random plausibility reducts in random fuzzy decision systems are introduced. The relationships among these reducts are examined.
KeywordsBelief functions fuzzy decisions knowledge reduction random information systems rough sets
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- 5.Wu, W.-Z.: A comparative study of belief and plausibility reducts in information systems with fuzzy decisions. In: Proceedings of 2010 International Conference on Machine Learning and Cybernetics (ICMLC 2010), Qingdao, China, July 11-14, pp. 552–557 (2010)Google Scholar