• DocumentCode
    468091
  • Title

    A Convex Combination Approach for the Weights of Interval Fuzzy Preference Relation

  • Author

    Lan, Ji-Bin ; Liu, Fang

  • Author_Institution
    Guangxi Univ. Nanning, Nanning
  • Volume
    1
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    17
  • Lastpage
    21
  • Abstract
    The weights of interval fuzzy preference relation generated in the analytic hierarchy process are investigated. Making use of a convex combination method, a family of real fuzzy preference relations are constructed. The aggregation of the weights of the family of real fuzzy preference relations is considered as the weights of interval fuzzy preference relation. In order to make any weight vector of the family of real fuzzy preference relations reliable, the sufficient and necessary conditions of their consistency and weak transitivity are given. When they are inconsistent, the method of repairing them to reach weak transitivity is also proposed. A numerical example is given to illustrate the validity and practicality of the developed methods.
  • Keywords
    fuzzy set theory; statistical analysis; analytic hierarchy process; convex combination approach; interval fuzzy preference relation; Economic forecasting; Information analysis; Information science; Linear programming; Mathematics; Sociology; Technology forecasting; Technology transfer; Testing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.13
  • Filename
    4405880