Multi-attribute Automatic Negotiation Model Based on Niche Genetic Algorithm
A multi-criteria ranking method about interval-valued intuitionistic fuzzy sets is introduced into the automatic negotiation model to weaken the subjectivity of preference information report from negotiation Agents. Using evidential reasoning algorithms, the criteria values are aggregated and the interval intuitionist fuzzy sets of alternatives are obtained; considering the incomplete certain information on weight, a nonlinear programming model is developed and the weight of various attribute is obtained. The niche genetic algorithm is proposed to search optimization and improve astringency. Finally, a simulation testing shows the model is a feasible and effective, which can help negotiation Agents to reach quickly a mutually beneficial agreement objectively.
automatic negotiation bargaining zone interval-valued intuitionistic fuzzy number niche genetic algorithm
Chen Pei-you Li Yi-ling
College of Economic and Management, Heilongjiang Institute of Science and Technology, Harbin 150027, China
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3380-3384
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）