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Author:

Zhai, Dongsheng (Zhai, Dongsheng.) (Scholars:翟东升) | Wu, Yuying (Wu, Yuying.) | Lu, Jinxuan (Lu, Jinxuan.) | Yan, Feng (Yan, Feng.)

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EI

Abstract:

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. © 2007, IFIP Advances in Information and Communication Technology.All rights reserved.

Keyword:

Genetic algorithms Membership functions Fuzzy set theory

Author Community:

  • [ 1 ] [Zhai, Dongsheng]School of Economics and Management, Beijing University of Technology, Beijing; 100022, China
  • [ 2 ] [Wu, Yuying]School of Economics and Management, Beijing University of Technology, Beijing; 100022, China
  • [ 3 ] [Lu, Jinxuan]School of Economics and Management, Beijing University of Technology, Beijing; 100022, China
  • [ 4 ] [Yan, Feng]School of Economics and Management, Beijing University of Technology, Beijing; 100022, China

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Source :

IFIP Advances in Information and Communication Technology

ISSN: 1868-4238

Year: 2007

Volume: 251

Page: 35-43

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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