• DocumentCode
    1661297
  • Title

    Multicriteria expected value models in fuzzy decision systems

  • Author

    Liu, Yian-Kui ; Liu, Baoding

  • Author_Institution
    Dept. of Math. Sci., Tsinghua Univ., Beijing, China
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1428
  • Lastpage
    1431
  • Abstract
    Based upon the upper expected value, lower expected value and expected value operators of a fuzzy variable, this paper first presents three types of multicriteria maximum expected value models. Then a theorem about the connection of Pareto solutions among the maximum expected value models is proved. In addition, the relationship between maximum and minimum expected value models is discussed. At the end of the paper, a numerical example of maximum expected value model is provided to show our modeling ideas
  • Keywords
    decision theory; fuzzy logic; mathematical programming; operations research; Pareto solutions; fuzzy decision systems; fuzzy variable; maximum expected value models; multicriteria expected value models; multicriteria maximum expected value models; Books; Chromium; Fuzzy set theory; Fuzzy systems; National electric code; Possibility theory; Power measurement; Stochastic processes; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7280-8
  • Type

    conf

  • DOI
    10.1109/FUZZ.2002.1006714
  • Filename
    1006714