• DocumentCode
    2725827
  • Title

    Credibility-based cooperative fuzzy game with Choquet integral form

  • Author

    Ran, Lun ; Pang, Jinhui ; Bai, Pengfei

  • Author_Institution
    Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
  • Volume
    4
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    537
  • Lastpage
    541
  • Abstract
    In this paper, we advance an argument on the fuzzy game which was introduced by Tsurumi and Tanino. Fuzzy coalition can be considered as the rates of players´ participation to the coalition. We define the participation rates as fuzzy variables to denote the available vagueness information. First, a new concept of payoff function was given from the Choquet integral fuzzy measure point of view, and a new type of fuzzy game was provided to extend the fuzzy game definition. Second, when the players want to maximize the optimistic return at a predetermined confidence level, the payoff function was discussed in detail by credibility measure. Third, a credibility maximization model was developed to meet the different optimistic levels. Finally, we give a numerical example to show the rational property of obtained payoff for fuzzy coalition.
  • Keywords
    cooperative systems; fuzzy set theory; game theory; integral equations; optimisation; Choquet integral form; credibility maximization model; credibility measure; credibility-based cooperative fuzzy game; fuzzy coalition; fuzzy variables; participation rates; payoff function; vagueness information; Environmental economics; Functional programming; Fuzzy set theory; Fuzzy sets; Game theory; Information management; Information resources; Radio access networks; Resource management; Technology management; fuzzy coalition; fuzzy programming; payoff function; the Choquet integral; the credibility measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357608
  • Filename
    5357608