• DocumentCode
    499012
  • Title

    The expected value of perfect information for two-stage random fuzzy programming with recourse

  • Author

    Ming-Fa Zheng ; Xu, Ya-Yi ; Song, Xiu-Chao

  • Author_Institution
    Coll. of Sci., Air Force Eng. Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    849
  • Lastpage
    854
  • Abstract
    Based on random fuzzy theory, this paper presents a new class of two-stage random fuzzy programming model, and gives three solution concepts, which are wait-and-see solution, here and now solution and expected value solution. Since the value of information and uncertainties plays an important role in the studies of uncertainty optimization problem, this paper gives two optimal indexes based on the three solution concepts, called the expected value of perfected information and the value of random fuzzy solution, and discuss their properties in the end.
  • Keywords
    fuzzy set theory; stochastic programming; perfected information expected value; random fuzzy theory; stochastic programming; two-stage random fuzzy programming; uncertainty optimization problem; Cybernetics; Machine learning; Two-stage random fuzzy programming; expected value of perfect information; value of random fuzzy solution; wait-and-see solution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212462
  • Filename
    5212462