• DocumentCode
    2583962
  • Title

    On fuzzy criterion set dynamic programming

  • Author

    Esogbue, Augustine O. ; Liu, Baoding

  • Author_Institution
    Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    1996
  • fDate
    19-22 Jun 1996
  • Firstpage
    70
  • Lastpage
    74
  • Abstract
    Discusses the framework for fuzzy criterion set-based dynamic programming, which generalizes the tools that are applicable to an array of fuzzy decision models, particularly those represented by the generalized reservoir operation and the stochastic inventory models. The objective is to maximize the expected fuzzy criterion function of the product of fuzzy criterion sets. We outline certain properties of the resultant models, including existence and uniqueness, and stability theorems of solutions to this model, including the fact that, under the regular hypothesis assumption, the optimal control is a bounded critical number policy
  • Keywords
    decision theory; dynamic programming; fuzzy control; fuzzy set theory; optimal control; stability; stochastic systems; bounded critical number policy; dynamic programming; existence; expected fuzzy criterion function maximization; fuzzy criterion set product; fuzzy decision models; generalized reservoir operation; optimal control; regular hypothesis assumption; stability theorems; stochastic inventory models; uniqueness; Dynamic programming; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Image storage; Integrated circuit modeling; Inventory control; Optimal control; Reservoirs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    0-7803-3225-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1996.534706
  • Filename
    534706