Dominance-Based Variable Precision Rough Fuzzy Approach in Fuzzy Information System

Author

Qi, YunSong ; Yang, Xibei ; Sun, Huaijiang ; Song, YuQing

Author_Institution

Sch. of Electron. & Inf., Jiangsu Univ. of Sci. & Technol., Zhenjiang

Volume

5

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

8

Lastpage

12

Abstract

In this paper, the dominance-based variable precision rough fuzzy set is proposed in the fuzzy information system. It is proved that the proposed rough fuzzy approach is a generalization of the dominance-based rough fuzzy approach. Important properties of the dominance-based variable precision rough fuzzy set are investigated. Further on the problem of inducing "at least" and "at most" decision rules from the fuzzy information system is also addressed. Some numerical examples are employed to substantiate the conceptual arguments.

Keywords

data analysis; fuzzy set theory; rough set theory; dominance-based variable precision rough fuzzy approach; fuzzy information system; rough set theory; Computer science; Consumer electronics; Data mining; Fuzzy sets; Fuzzy systems; Information systems; Knowledge engineering; Set theory; Sun; Technological innovation; decision rules; dominance-based rough set; rough fuzzy set;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Jinan Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.23

Filename

4666486