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Author:

Wu, Yuying (Wu, Yuying.) | Lu, Jinxuan (Lu, Jinxuan.) | Yan, Feng (Yan, Feng.)

Indexed by:

CPCI-S EI Scopus

Abstract:

An offer is accepted or rejected based on the utility function in the traditional automatic negotiation. Acceptability based on the fuzzy set theory and the membership function is used to evaluate offers. Since different issues have different effect on negotiators, the combined concession in the multi-issue negotiation, Bayesian learning mechanism and genetic algorithm are adopted to update its beliefs about incomplete information. The fuzzy negotiation model is a more practical than the traditional negotiation model.

Keyword:

automatic negotiation Bayesian learning Swarm genetic algorithm membership function agent

Author Community:

  • [ 1 ] [Wu, Yuying]Beijing Univ Technol, Sch Econ & Management, Beijing 100022, Peoples R China
  • [ 2 ] [Lu, Jinxuan]Beijing Univ Technol, Sch Econ & Management, Beijing 100022, Peoples R China
  • [ 3 ] [Yan, Feng]Beijing Univ Technol, Sch Econ & Management, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Wu, Yuying]Beijing Univ Technol, Sch Econ & Management, Beijing 100022, Peoples R China

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Source :

ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 5, PROCEEDINGS

Year: 2007

Page: 379-,

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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