Paper Info
Title
An Approach for Fuzzy-Rough Sets Attributes Reduction via Mutual Information
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.
Year
DOI
Venue
2007
10.1109/FSKD.2007.143
FSKD (3)
Keywords
Field
DocType
rough set theory,data reduction,fuzzy set theory,fuzzy rough set,information framework,fuzzy-rough sets attribute reduction,fuzzy-rough sets attributes reduction,fuzzy-rough set,attribute reduction,data redundancy reduction,data redundancy,mutual information,effective technique,integrated use,mutual information-based algorithm,rough set
Data mining,Pattern recognition,Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy mathematics,Rough set,Fuzzy set,Artificial intelligence,Type-2 fuzzy sets and systems,Fuzzy number,Dominance-based rough set approach
Conference
Volume
ISBN
Citations 
3
978-0-7695-2874-8
4
PageRank 
References 
Authors
0.41
5
3
Name
Order
Citations
PageRank
Feifei Xu1765.25
Duoqian Miao21854119.26
Lai Wei3412.73