A fuzzy negotiation model with genetic algorithms - 文章详情页

作者：

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

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摘要：

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.

关键词：

Genetic algorithms Membership functions Fuzzy set theory

作者机构：

[ 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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