Title :
Studies on consistence of the knowledge simplification of an uncertain system
Author :
Zeng, Huanglin ; Zeng, Xiaohui
Author_Institution :
Sichuan Univ. of Sci. & Eng., China
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;
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
DOI :
10.1109/COGINF.2009.5250765