NDLI: Belief and plausibility reducts in incomplete information systems with fuzzy decision

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Belief and plausibility reducts in incomplete information systems with fuzzy decision

Content Provider	IEEE Xplore Digital Library
Author	Jiming Hu Wei-Zhi Wu
Copyright Year	2012
Description	Author affiliation: School of Mathematics, Physics and Information Science, Zhejiang Ocean University, Zhoushan 316004, China (Wei-Zhi Wu) \|\| College of Electromechanical Engineering, Zhejiang Ocean University, Zhoushan 316004, China (Jiming Hu)
Abstract	In this paper, the concept of incomplete information systems with fuzzy decision is introduced. Lower and upper approximations of fuzzy decision classes with respect to a conditional attribute subset are defined and their properties are presented. The connection between rough set approximations and Dempster-Shafer theory of evidence in incomplete information systems with fuzzy decision is established. The notions of lower approximation reducts, upper approximation reducts, belief reducts and plausibility reducts in incomplete information systems with fuzzy decision are further defined and their relationships are examined.
Starting Page	212
Ending Page	218
File Size	452559
Page Count	7
File Format	PDF
ISBN	9781467314848
ISSN	2160133X
e-ISBN	9781467314879
DOI	10.1109/ICMLC.2012.6358914
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Abstracts rough sets Attribute reduction belief functions fuzzy decisions incomplete information systems
Content Type	Text
Resource Type	Article

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