Belief and plausibility reducts in incomplete information systems with fuzzy decision

Author

Hu, Jiming ; Wu, Wei-zhi

Author_Institution

Coll. of Electromech. Eng., Zhejiang Ocean Univ., Zhoushan, China

Volume

1

fYear

2012

fDate

15-17 July 2012

Firstpage

212

Lastpage

218

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.

Keywords

approximation theory; data reduction; fuzzy set theory; rough set theory; Dempster-Shafer theory; belief reduction; conditional attribute subset; fuzzy decision classes; incomplete information systems; lower approximation reduction; plausibility reduction; rough set approximations; upper approximation reduction; Abstracts; Attribute reduction; belief functions; fuzzy decisions; incomplete information systems; rough sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on

Conference_Location

Xian

ISSN

2160-133X

Print_ISBN

978-1-4673-1484-8

Type

conf

DOI

10.1109/ICMLC.2012.6358914

Filename

6358914