• DocumentCode
    3474725
  • Title

    GA-based one-to-many multi-attribute automatic negotiation model

  • Author

    Yuying, Wu ; Lixing, Zhang ; Feng, Yan

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    2-6 Aug. 2009
  • Firstpage
    559
  • Lastpage
    563
  • Abstract
    With the development of business intelligence, automatic negotiation has become an important channel for resolving the conflict of business. When buyers negotiate with sellers, they often concern about a number of attributes, and look forward to communicate with several sellers, and then choose the best deal. GA-based one-to-many multi-attribute automatic negotiation model is proposed and simulated to validate the effectiveness and feasibility, when the weight of the buyer changes, the final solution of the model changes according, so the negotiation is sensitive to the parameters in the model.
  • Keywords
    competitive intelligence; genetic algorithms; business intelligence; genetic algortihm; multiattribute automatic negotiation model; Constraint theory; Counting circuits; Decision making; Genetic algorithms; Internet; Knowledge management; Learning systems; Technology management; Utility theory; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering & Technology, 2009. PICMET 2009. Portland International Conference on
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-1-890843-20-5
  • Electronic_ISBN
    978-1-890843-20-5
  • Type

    conf

  • DOI
    10.1109/PICMET.2009.5262114
  • Filename
    5262114