• DocumentCode
    1752835
  • Title

    Combination Rules of Fuzzy Sets via Random Set Formulation

  • Author

    Zhu, Yunmin ; Zhou, Jie

  • Author_Institution
    Dept. of Math., Sichuan Univ., Chengdu
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    3067
  • Lastpage
    3071
  • Abstract
    In this paper, a new angle to establish the combination rules is proposed. Based on the random set formulation of a fuzzy set and the fuzzy set formulation of a random set, various combination rules from stochastic viewpoint can be constructed. Using the concept of independence in probability theory, such combination rules can be derived upon independence and various correlations of the evidence of multiple fuzzy information. Besides, since both fuzzy set and Dempster-Shafer evidence inference can be reformulated to be random sets, applying the method of constructing combination rules via the random set formulation, we can combine multiple fuzzy sets and Dempster-Shafer evidences to be a final fuzzy set or a evidence inference issue
  • Keywords
    combinatorial mathematics; fuzzy set theory; inference mechanisms; probability; random processes; stochastic processes; Dempster-Shafer evidence inference; combination rules; fuzzy sets; probability theory; random set formulation; stochastic viewpoint; Bridges; Fuzzy set theory; Fuzzy sets; Mathematics; Stochastic processes; Uncertainty; Fuzzy sets; combination rules; evidence inferences; random sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1712930
  • Filename
    1712930