• DocumentCode
    226925
  • Title

    A fuzzy logic based bargaining model in discrete domains: Axiom, elicitation and property

  • Author

    Jieyu Zhan ; Xudong Luo ; Cong Feng ; Wenjun Ma

  • Author_Institution
    Inst. of Logic & Cognition, Sun Yat-sen Univ., Guangzhou, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    424
  • Lastpage
    431
  • Abstract
    This paper builds a multi-demand bargaining model based on fuzzy rules, and introduces its agreement concept, which satisfies four intuitive properties of consistency, collective rationality, disagreement and minimum concession. In the model, the fuzzy rules are used to calculate how much bargainers should change their preference during a bargaining. Moreover, the psychological experiment are used to elicit the fuzzy rules. In addition, we analyse how bargainers´ risk attitude, patience and regret degree influence agreement of our bargaining game, and identify the existence conditions of bargaining agreement.
  • Keywords
    fuzzy logic; fuzzy set theory; game theory; psychology; axiom; bargaining game; collective rationality; consistency; disagreement; discrete domains; elicitation; fuzzy logic based bargaining model; fuzzy rules; minimum concession; multidemand bargaining model; patience analysis; property; regret degree influence agreement analysis; risk attitude analysis; Computational modeling; Educational institutions; Fuzzy logic; Games; Pragmatics; Psychology; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891778
  • Filename
    6891778