• DocumentCode
    1696241
  • Title

    A Fuzzy Negotiation Model Based on Bayesian Learning

  • Author

    Yuying, Wu ; Jinxuan, Lu ; Feng, Yan

  • Author_Institution
    Beijing Univ. of Technol., Beijing
  • fYear
    2007
  • Firstpage
    1239
  • Lastpage
    1247
  • Abstract
    We usually decide to accept or reject the offer based on the utility function in the traditional automatic negotiation of E-commerce so that we reject the offers whose utility is lower than a specified value. Here we evaluate the acceptability based on the fuzzy set theory and the membership function. Since different issues have different effect on the negotiators, we state the combined concession in the multi-issue negotiation for the negotiators and negotiator Agent adopts Bayesian learning mechanism to update its beliefs about incomplete information. We put forward a more practical negotiation model than the traditional negotiation model.
  • Keywords
    belief networks; electronic commerce; fuzzy set theory; Bayesian learning; automatic negotiation; e-commerce; fuzzy negotiation; fuzzy set theory; membership function; multiissue negotiation; utility function; Bayesian methods; Cultural differences; Decision making; Fuzzy set theory; Humans; Internet; Learning systems; Protocols; Software agents; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering and Technology, Portland International Center for
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-1-8908-4315-1
  • Electronic_ISBN
    978-1-8908-4315-1
  • Type

    conf

  • DOI
    10.1109/PICMET.2007.4349447
  • Filename
    4349447