A Fuzzy Negotiation Model with Genetic Algorithms

  • Dongsheng Zhai
  • Yuying Wu
  • Jinxuan Lu
  • Feng Yan
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 251)


An offer in a fuzzy negotiation model is rejected or accepted by acceptability based on fuzzy set theory and membership functions. Since different issues have different effect on negotiators, the combined concession in the multi-issue negotiation for negotiators and negotiation agents and genetic learning mechanism are adopted to update their beliefs about incomplete information. The fuzzy negotiation model with genetic algorithms is more practical than the traditional negotiation model.


Genetic Algorithm Membership Function Multiple Criterion Decision Making Negotiation Protocol Negotiation Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Dongsheng Zhai
    • 1
  • Yuying Wu
    • 1
  • Jinxuan Lu
    • 1
  • Feng Yan
    • 1
  1. 1.School of Economics and ManagementBeijing University of TechnologyBeijingChina

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