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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5581053