Studies on consistence of the knowledge simplification of an uncertain system

Author

Zeng, Huanglin ; Zeng, Xiaohui

Author_Institution

Sichuan Univ. of Sci. & Eng., China

fYear

2009

fDate

15-17 June 2009

Firstpage

162

Lastpage

166

Abstract

In this paper, we discuss the knowledge redundancy and the knowledge simplification of an uncertain system based on theoretical aspects of rough sets and information entropy. The consistence of analysis on knowledge redundancy and the knowledge simplification is set up. The relationship of information entropy and knowledge significance is drawn on the information dependence of condition attributes and decision condition attributes. A new approach of analysis on knowledge redundancy and the knowledge simplification based on information entropy is presented. The theoretical analysis and the proposed method are validated by some of examples here.

Keywords

data mining; entropy; rough set theory; uncertain systems; information entropy; knowledge redundancy; knowledge simplification; rough set theory; uncertain system; Artificial intelligence; Data mining; Information analysis; Information entropy; Information systems; Information technology; Knowledge engineering; Rough sets; Set theory; Uncertain systems; An uncertain information system; Data mining; Decision rules; Information coverage; Rough sets; Statistical methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on

Conference_Location

Kowloon, Hong Kong

Print_ISBN

978-1-4244-4642-1

Type

conf

DOI

10.1109/COGINF.2009.5250765

Filename

5250765