DocumentCode :
3292228
Title :
Knowledge Reduction in Inconsistent Interval-valued Decision System Based on Dominance Relation
Author :
Li, Yan-Lin
Author_Institution :
Sch. of Electr. Eng., Hunan Univ. of Technol., Zhuzhou, China
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
267
Lastpage :
270
Abstract :
Dominance-based rough set approach is an improvement of classical rough set approach because it is mainly based on substitution of the indiscernibility relation by a dominance relation. In this paper, we mainly pay our attention on the dominance-based rough set approach to the inconsistent interval-valued decision system. By using the concept of knowledge reduction in terms of the quality of approximation of partition, we propose an algorithm to compute the reduct of the inconsistent interval-valued decision system, from which we can obtain the simplified decision rules from such system. Some numerical examples are employed to substantiate the conceptual arguments.
Keywords :
decision theory; information systems; knowledge management; rough set theory; dominance relation; dominance-based rough set approach; inconsistent interval-valued decision system; knowledge reduction; Approximation algorithms; Information systems; Partitioning algorithms; Set theory; Technological innovation; approximation; decision rule; dominance-based rough set; knowledge reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3646-0
Type :
conf
DOI :
10.1109/WMWA.2009.29
Filename :
5232516
Link To Document :
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