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Knowledge Reduction Based on Evidence Reasoning Theory in Ordered Information Systems.

Knowledge Reduction Based on Evidence Reasoning Theory in Ordered Information Systems.

Authors :
Lang, Jérôme
Fangzhen Lin
Ju Wang
Wei-Hua Xu
Ming-Wen Shao
Wen-Xiu Zhang
Source :
Knowledge Science, Engineering & Management; 2006, p535-547, 13p
Publication Year :
2006

Abstract

Rough set theory has been considered as a useful tool to model the vagueness, imprecision, and uncertainty, and has been applied successfully in many fields. Knowledge reduction is one of the most important problems in rough set theory. However, in real-world most of information systems are based on dominance relations in stead of the classical rough set because of various factors. To acquire brief decision rules from systems based on dominance relations, knowledge reductions are needed. The main aim of this paper is to study the problem. The basic concepts and properties of knowledge reduction based on evidence reasoning theory are discussed. Furthermore, the characterization and knowledge reduction approaches based on evidence reasoning theory are obtained with examples in several kinds of ordered information system, which is every useful in future research works of the ordered information systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540370338
Database :
Complementary Index
Journal :
Knowledge Science, Engineering & Management
Publication Type :
Book
Accession number :
32904752
Full Text :
https://doi.org/10.1007/11811220_45