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| Mutual Information-Based Algorithm for Fuzzy-Rough Attribute Reduction |
| Xu Fei-fei①; Miao Duo-qian①; Wei Lai①; Feng Qin-rong①; Bi Yu-sheng② |
| ①Department of Computer Science and Technology, Tongji University, Shanghai 201804, China; ②School of Economics and Management, Tongji University, Shanghai 200092, China |
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Abstract Fuzzy-rough attribute reduction is one of the important topics in the research on fuzzy-rough set theory. In this paper,the information entropy is generalized in rough set so that it could be used to value the importance of attribute under fuzzy circumstance.A new heuristic algorithm based on mutual information for fuzzy-rough attribute reduction is introduced and illustrated with a simple example.
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Received: 27 November 2006
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2008, Vol. 30 
