The VPRS Model Based on Set Pair Analysis in Incomplete Fuzzy Information System

Author

Wang, Hua-Kui ; Jia, Ruo-Si ; Wu, Juan-Ping ; Han, Ying-Zheng ; Zhang, Bin ; Feng, Li-Li

Author_Institution

Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China

Volume

1

fYear

2010

fDate

23-24 Oct. 2010

Firstpage

36

Lastpage

39

Abstract

In this paper, the author proposed the concept of incomplete and fuzzy information systems based on incomplete approximation spaces and fuzzy sets, and analyzed the approximate class-precision and boundary in rough set systemically, via introducing the thought of inner & outer boundaries and inner & outer approximate definable sets combining rough set with fuzzy set, variable precision theory, set pair analysis(SPA), put forward a feasible model and a precision reduction method, did some work on improving class precision in rough set.

Keywords

approximation theory; fuzzy set theory; information systems; rough set theory; VPRS model; fuzzy set theory; incomplete approximation space; incomplete fuzzy information system; on set pair analysis; precision reduction method; precision theory; rough set theory; set pair analysis; variable precision rough set model; Analytical models; Approximation methods; Context; Data models; Information systems; Noise; Set theory; Incomplete Fuzzy Information Systems; Precision Reduction; SPA; VPRSM;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-8432-4

Type

conf

DOI

10.1109/AICI.2010.15

Filename

5656598