• 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