Multi-attribute automatic negotiation model based on niche genetic algorithm

Abstract

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.