Title :
An Approach for Fuzzy-Rough Sets Attributes Reduction via Mutual Information
Author :
Xu, Feifei ; Miao, Duoqian ; Wei, Lai
Author_Institution :
Tongji Univ., Shanghai
Abstract :
This paper presented a novel approach, based on an integrated use of fuzzy and rough set theories, to greatly reduce data redundancy. The information framework in rough set theory is introduced in fuzzy-rough set. Mutual information-based algorithm for attribute reduction in fuzzy-rough set is introduced and illustrated with a simple example. Experimental result shows that it is an effective technique.
Keywords :
data reduction; fuzzy set theory; rough set theory; data redundancy reduction; fuzzy-rough sets attribute reduction; mutual information; Algebra; Computer science; Data analysis; Fuzzy set theory; Fuzzy sets; Information representation; Machine learning; Mutual information; Rough sets; Set theory;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.143
