Knowledge Reduction of Interval-Valued Fuzzy Information Systems Based on Variable Precision Tolerance Relation

Author

Lin, Li-hua ; Wu, Shun-xiang

Author_Institution

Dept. of Autom., XiaMen Univ., Xiamen

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

4

Abstract

The incomplete information systems is described by interval-valued fuzzy information systems in this paper, which are generalized models of single-valued information systems. And a generalized variable precision tolerance relation is defined in interval-valued fuzzy information system by tolerance degree of condition attributes, then the generalized decision attributes is obtained by means of the tolerance relation. Based on the generalized variable precision tolerance relation, the problem of knowledge reduction is investigated and the discernibility matrices of the generalized decision attributes in interval-valued fuzzy decision information systems are studied. Finally, the methods of the knowledge reduction for the interval-valued fuzzy information systems are presented with some examples.

Keywords

data mining; fuzzy set theory; information systems; condition attribute; discernibility matrix; generalized decision attributes; generalized variable precision tolerance relation; interval-valued fuzzy decision information system; knowledge reduction; single-valued information system; tolerance degree; Automation; Data analysis; Data mining; Fuzzy sets; Fuzzy systems; Information systems; Machine learning; Pattern recognition; Set theory; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5072933

Filename

5072933