• DocumentCode
    424172
  • Title

    Multicriteria optimization problems in fuzzy random decision systems

  • Author

    Liu, Yan-Kui ; Chen, Yan-ju

  • Author_Institution
    Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
  • Volume
    4
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    2053
  • Abstract
    This paper first presents multicriteria fuzzy random expected value models via expected value operators, and variance of fuzzy random variables. Then, three types of minimization (maximization) fuzzy random expected value models are built based on a decision-maker´s preference or intention. After that, the interconnections among the three types of optimization problems are discussed. At the end of the paper, a numerical example is provided to illustrate the modeling ideas of the proposed optimization problems.
  • Keywords
    fuzzy set theory; fuzzy systems; optimisation; expected value operators; fuzzy random decision systems; fuzzy random variables; multicriteria fuzzy random expected value models; multicriteria optimization problems; Computer science; Educational institutions; Fuzzy systems; Linear programming; Mathematical model; Mathematics; Operations research; 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.2004.1382133
  • Filename
    1382133