A New Extended Rough Set Model Based on the Dynamic Tolerance Relation and Improved Tolerance Degree Calculating Method

Author

Ji Xia ; Li LongShu ; Chen ShengBing ; Xu Yi

Author_Institution

Key Lab. of Minist. of Educ. for CI & SP, Anhui Univ., Hefei, China

Volume

1

fYear

2009

fDate

18-19 July 2009

Firstpage

94

Lastpage

96

Abstract

A dynamic tolerance relation of extended rough set model is presented on the basis of analyzing the existing models. Firstly, an improved method to calculate the tolerance degree of two objects more objective is given. On this basis, a dynamic tolerance degree parameter is selected in this paper. It can adjust the extended model from equivalence relation to tolerance relation, besides it can adjust its value dynamically according to the dynamic adjustment of data set, so it can enlarge the scale of data which can be disposed by this model and enhance the modelpsilas disposal ability. The UCI database is selected to demonstrate the validity of this new extended model.

Keywords

rough set theory; UCI database; disposal ability; dynamic tolerance relation; extended rough set model; tolerance degree calculating method; Databases; Electronic mail; Fuzzy set theory; Fuzzy systems; Hybrid intelligent systems; Information analysis; Information processing; Information systems; Machine learning; Set theory; dynamic tolerance relation; incomplete information; rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on

Conference_Location

Shenzhen

Print_ISBN

978-0-7695-3699-6

Type

conf

DOI

10.1109/APCIP.2009.32

Filename

5197004