• DocumentCode
    3182196
  • Title

    Fuzzy preferences in a two-decision maker graph model

  • Author

    Bashar, M. Abul ; Hipel, Keith W. ; Kilgour, D. Marc

  • Author_Institution
    Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2010
  • fDate
    10-13 Oct. 2010
  • Firstpage
    2964
  • Lastpage
    2970
  • Abstract
    A fuzzy preference framework is developed within the paradigm of the graph model for conflict resolution. This framework takes into account both certain and uncertain information about the preferences of decision makers (DMs) involved in a strategic conflict. The graph model is a solution methodology for conflict decision making that begins with a model of the problem and suggests possible resolutions through a number of stability definitions. Four basic fuzzy stability definitions are introduced for a two-DM graph model to analyze conflict behavior and identify possible resolutions even when preferences are fuzzy. Fuzzy stability definitions describe varied human behavior in a conflict model; a state is fuzzy stable for a DM according to a specific fuzzy stability definition if a move to any other state, evaluated according to that definition, does not meet the DM´s fuzzy satisficing threshold. A state that is fuzzy stable for all DMs under a specific fuzzy stability definition constitutes a fuzzy equilibrium under that definition, and is interpreted as a possible resolution of the conflict. Fuzzy stability definitions include fuzzy Nash stability, fuzzy general metarationality, fuzzy symmetric metarationality, and fuzzy sequential stability.
  • Keywords
    decision making; fuzzy set theory; graph theory; conflict decision making; conflict resolution; fuzzy Nash stability; fuzzy general metarationality; fuzzy preference; fuzzy satisficing threshold; fuzzy sequential stability; fuzzy symmetric metarationality; human behavior; two DM graph model; two decision maker graph model; Delta modulation; Conflict; Fuzzy preference; Fuzzy satisficing threshold; Fuzzy stability; Fuzzy strength of preference; Fuzzy unilateral improvement; Graph model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-6586-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2010.5641995
  • Filename
    5641995