DocumentCode
2256701
Title
Reductions in inconsistent decision systems based on dominance relations
Author
Li, Yan ; Sun, Na-xin ; Zhao, Jin
Author_Institution
Key Lab. In Machine Learning & Comput. Intell., Hebei Univ., Baoding, China
Volume
1
fYear
2010
fDate
11-14 July 2010
Firstpage
279
Lastpage
284
Abstract
By incorporating domination principle in inconsistent decision systems based on dominance relations, we define the concept of distribution function for a decision system to directly reflect the inconsistent degree of this system. A new type of distribution reduction and maximum distribution reduction are correspondingly introduced. The relationships between these two reductions are discussed, and their judgment theorems are given. In addition, this article also discusses the relations of several existing reductions, including compatible reduction, absolute reduction, and the proposed distribution reduction and maximum distribution reduction.
Keywords
rough set theory; decision system; distribution function; dominance relations; inconsistent decision systems; maximum distribution reduction; Approximation methods; Cybernetics; Distribution functions; Information systems; Machine learning; Set theory; Distribution reduction; Dominance relation; Maximum distribution reduction; Rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5581053
Filename
5581053
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