• DocumentCode
    1831519
  • Title

    Two-decision-maker cooperative games with fuzzy preferences

  • 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
    6
  • Lastpage
    12
  • Abstract
    In game theory, two or more parties need to make decisions with fully or partially conflicting objectives. In situations where reaching a more favourable outcome depends upon cooperation between the two conflicting parties, some of the mental and subjective attitudes of the decision makers must be considered. While the decision to cooperate with others bears some risks due to uncertainty and loss of control, not cooperating means giving up potential benefits. In practice, decisions must be made under risk, uncertainty, and incomplete or fuzzy information. Because it is able to work well with vague, ambiguous, imprecise, noisy or missing information, the fuzzy approach is effective for modeling such multicriteria conflicting situations. The wellknown game of Prisoner´s Dilemma, which reflects a basic situation in which one must decide whether to cooperate or not with a competitor, is systematically solved using a fuzzy approach. The fuzzy procedure is used to incorporate some of the subjective attitudes of the decision makers that are difficult to model using classical game theory. Furthermore, it permits researchers to consider the subjective attitudes of the decision makers and make better decisions in subjective, uncertain, and risky situations.
  • Keywords
    decision making; fuzzy set theory; game theory; classical game theory; fuzzy preferences; mental attitudes; multicriteria conflicting situations; prisoner dilemma; subjective attitudes; two-decision-maker cooperative games; Aggregates; Economics; Game theory; Games; Noise measurement; Uncertainty; cooperative games; decision making; fuzzy logic; prisoner´s dilemma;
  • 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.2010.5674603
  • Filename
    5674603