• DocumentCode
    424171
  • Title

    On the independence of fuzzy vectors

  • Author

    Liu, Yan-Kui ; Zhao, Miao

  • Author_Institution
    Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
  • Volume
    4
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    2047
  • Abstract
    Fuzzy variable is a function from a possibility space to the real line. By analogy of the independence of random variables, there are similar terms for fuzzy variables such as unrelated fuzzy variables, noninteractive fuzzy variables, and independent fuzzy variables. The purpose of this work is to discuss the relations among these terms. Toward this end, the work first defines the marginal possibility distributions of a fuzzy vector, and then gives a simple approach to define the independent fuzzy variables. After that, the equivalence of unrelated, noninteractive, and independent fuzzy variables are proved in the framework of possibility theory.
  • Keywords
    fuzzy set theory; possibility theory; fuzzy variable; fuzzy vectors; marginal possibility distributions; possibility theory; Chromium; Computer science; Educational institutions; Extraterrestrial measurements; Functional programming; Linearity; Mathematics; Possibility theory; Random variables; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382132
  • Filename
    1382132