A comparative study of belief and plausibility reducís in information systems with fuzzy decisions

Author

Wu, Wei-Zhi

Author_Institution

Sch. of Math., Phys. & Inf. Sci., Zhejiang Ocean Univ., Zhoushan, China

Volume

2

fYear

2010

fDate

11-14 July 2010

Firstpage

552

Lastpage

557

Abstract

Knowledge reduction is one of the main problems in the study of rough set theory. This paper deals with attribute reduction in complete information systems with fuzzy decisions. The concepts of lower approximation reducts, upper approximation reducts, belief reducts, and plausibility reducts in information systems with fuzzy decisions are introduced and their relationships are examined. It is shown that, in a complete information system with fuzzy decisions, an attribute set is a belief reduct (a plausibility reduct, respectively) if and only if it is a lower approximation reduct (an upper approximation reduct, respectively).

Keywords

fuzzy set theory; information systems; rough set theory; attribute reduction; belief reducts; fuzzy decisions; information systems; knowledge reduction; lower approximation reducts; plausibility reducts; rough set theory; upper approximation reducts; Educational institutions; Belief functions; consistent sets; information systems; information systems with fuzzy decisions; reducts; rough sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-6526-2

Type

conf

DOI

10.1109/ICMLC.2010.5580481

Filename

5580481