A Rough Set Approach to Incomplete and Fuzzy Decision Information System

Author

Wei, Dakuan ; Zhao, Yaqin ; Zhou, Xianzhong

Author_Institution

Sch. of Inf. Eng., Hunan Univ. of Sci. & Eng., Yongzhou

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4219

Lastpage

4223

Abstract

This paper proposes the concept of incomplete and fuzzy decision information system under incomplete information system and completes fuzzy decision information system, unlike either incomplete information system or complete fuzzy decision information system, which is a generalization of them. The rough set model for incomplete and fuzzy decision information system based on limited tolerance relation is presented, which is alike the generalizations of rough set model for incomplete information system and of that for complete fuzzy decision information system. Knowledge reduction and its algorithm ascertaining precision degree unchanged are mentioned

Keywords

decision support systems; fuzzy set theory; knowledge management; rough set theory; fuzzy decision information system; incomplete decision information system; knowledge reduction; rough set theory; Artificial intelligence; Fuzzy sets; Fuzzy systems; Information systems; Knowledge acquisition; Management information systems; Research and development management; Set theory; Complete fuzzy decision information system; Incomplete information system; Knowledge reduction; Limited tolerance relation; Rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713170

Filename

1713170