• DocumentCode
    2766183
  • Title

    The Expected Value of Information and the Random Fuzzy Solution

  • Author

    Bai, Xue-Jie ; Liu, Yan-Kui

  • Author_Institution
    Coll. of Sci. Agric., Univ. of Hebei, Baoding, China
  • Volume
    7
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    93
  • Lastpage
    97
  • Abstract
    This paper studies the expected value of perfect information (EVPI) and the value of the random fuzzy solution (VRFS) for random fuzzy programming with recourse problems. We first propose three fundamental solution concepts related to the two-stage random fuzzy programming. They are wait-and-see solution, here-and-now solution, and the expected value solution. Then we introduce two important indices based on the above three solution concepts. The first one is called the expected value of perfect information, and the second is called the value of the random fuzzy solution. Finally, we discuss some basic properties for EVPI, VRFS and the proposed solution concepts.
  • Keywords
    fuzzy set theory; expected value of perfect information; random fuzzy programming; random fuzzy solution; recourse problems; Computer science; Convergence; Educational institutions; Fuzzy systems; Linear programming; Mathematical programming; Mathematics; Stochastic processes; Uncertainty; Variable structure systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.427
  • Filename
    5359957