• DocumentCode
    1821511
  • Title

    Fuzzy approaches to two-decision-maker games

  • Author

    AL-Mutairi, Mubarak S.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Hafr Albatin Community Coll., Hafr Albatin, Saudi Arabia
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    945
  • Lastpage
    952
  • Abstract
    A unique fuzzy approach is developed to model uncertainties in the preferences of a decision maker involved in a conflict. Human judgments, including expressing preferences over a set of feasible outcomes or states in a conflict, are usually imprecise. Situations characterized by vagueness, impreciseness, incompleteness and ambiguity, are often reflected in the decision maker´s preferences. When modeling a conflict, it is assumed that the decision makers, the courses of actions available for each, and the preferences of each decision maker are known. When the preferences of the decision maker over a certain set of actions are not known with certainty, this could affect the overall equilibria which are predicted in an analysis. Hence, fuzzy logic is used to handle imprecise or vague preference information so that realistic equilibria can be found. The well-known game of Prisoner´s Dilemma, in which one must decide whether or not to cooperate, is employed as an illustrative application to demonstrate how the fuzzy preference methodology works in practice.
  • Keywords
    decision making; fuzzy set theory; game theory; decision maker preferences; fuzzy approaches; fuzzy logic; fuzzy preference methodology; prisoner dilemma; two decision maker games; uncertainties modeling; Biological system modeling; Delta modulation; Fuzzy sets; Games; Numerical stability; Stability analysis; Thermal stability; Fuzzy Sets; Preferences; Prisoner´s Dilemma; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674220
  • Filename
    5674220