计算机工程2011，Vol.37Issue(1)：194-196,200,4.DOI:10.3969/j.issn.1000-3428.2011.01.067
基于小生境遗传算法的自动谈判模型
Automatic Negotiation Model Based on Niche Genetic Algorithm
摘要
Abstract
A multi-criteria ranking method about interval-valued intuitionistic fuzzy sets is introduced into the automatic negotiation model to weaken the subjectivity degree of preference information report from negotiation Agent and the interval intuitionist fuzzy sees of alternatives are obtained. Considering the incomplete certain information on weights, a nonlinear programming model is developed and the weight of various attribute is obtained. In order to overcome the precocious phenomenon on Genetic Algorithm(GA), the Niche Genetic Algorithm(NGA) is proposed to search optimization and improve astringency. Simulation test shows the model is feasible and effective, the precision is high and the value-stability is good, which can help negotiation Agent to reach fast a mutually beneficial agreement objectively.关键词
自动谈判/议价区间/区间直觉模糊数/小生境遗传算法Key words
automatic negotiation/ bargaining zone/ interval-valued intuifionistic fuzzy number/ Niche Genetic Algorithm(NGA)分类
信息技术与安全科学引用本文复制引用
陈培友,李义玲..基于小生境遗传算法的自动谈判模型[J].计算机工程,2011,37(1):194-196,200,4.基金项目
黑龙江省博士后基金资助项目(LBH-Z05129) （LBH-Z05129）
黑龙江省研究生创新科研基金资助项(YJSCX2009-071HLJ) （YJSCX2009-071HLJ）
