• DocumentCode
    1937826
  • Title

    Partner Selection Based on Extended Contract Net and Hybrid Reasoning

  • Author

    Li, Hui

  • Author_Institution
    Zhejiang Normal Univ., Jinhua
  • Volume
    7
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    3788
  • Lastpage
    3793
  • Abstract
    To hold market chances by building cooperation alliance across enterprises, partner selection approach based on extended contract net and partner evaluation based on hybrid reasoning were proposed respectively. On the foundation of partner classification, partner selection approach based on extended contract net, which introduced roles of candidate-successful-contractors / pre-successful-contractors, hybrid reasoning, time-bound framework, etc., was built up. Applying the thought of case-based reasoning into partner selection, evaluation process and similarity computation based on hybrid reasoning, in which case-based reasoning is primary and rule-based reasoning is subsidiary, were proposed. Finally, an intelligent decision support system for partner selection based on extended contract net and hybrid reasoning was designed and developed in the framework of J2EE and Struts.
  • Keywords
    Java; case-based reasoning; decision support systems; knowledge based systems; J2EE/Struts framework; candidate-successful-contractor; case-based reasoning; cooperation alliance; enterprise partner selection; extended contract net; hybrid reasoning; intelligent decision support system; market chances; partner classification; rule-based reasoning; Contracts; Cybernetics; Decision support systems; Hybrid intelligent systems; IEEE news; Logistics; Machine learning; Protocols; Supply chains; Virtual enterprises; Case-based reasoning; Contract net; Hybrid reasoning; Partnering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370806
  • Filename
    4370806