NDLI: Comparison research for attribution reduction based on information entropy and distribution consistent set

Content Provider	IEEE Xplore Digital Library
Author	Wu Wei-bing Xu Zhang-yan
Copyright Year	2011
Description	Author affiliation: Department of computer, Guangxi Normal University, Guilin, China (Xu Zhang-yan) \|\| College of Mathematics and Information Sciences, Huanggang Normal University, China (Wu Wei-bing)
Abstract	Rough set is a valid theory to deal with imprecise, uncertain, and vague information. For different aim in application, there are different definitions for the attribution reduction which were called attribution reduction based on positive region, information entropy, HU's discernibility matrix and distribution consistent set, respectively. In this paper, the relationships of the attribute reductions based on information entropy and distribution consistent set are studied. A new conclusion is deduced that the attribute reduction based on information entropy is equal to that based on distribution consistent set.
File Size	813260
File Format	PDF
ISBN	9781612842752
e-ISBN	9781612842769
DOI	10.1109/ICEOE.2011.6013101
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Copper Distribution consistent set HU's discernibility matrix Positive region Information entropy Rough set
Content Type	Text
Resource Type	Article

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Comparison research for attribution reduction based on information entropy and distribution consistent set