A Game Method for Multiple Attribute Decision-Making without Weight Information

摘要：

A game model for solving multiple attribute decision making without weight information is proposed. In this model, each attribute is a player whose strategy is to choose a value to endow its attribute weight, and whose utility is matching degree between alternative order produced by decision making and alternative order produced by magnitude of attribute. The Nash equilibrium solution is obtained by using Genetic Algorithm, and an equilibrium profile is an attribute weight vector. Under the equilibrium profile the matching degree between alternative order produced by decision making and all alternative orders produced by magnitude of attribute values are better. The results of experiments show that the game method is effective and feasible.

作者: Lihua Zhou Weiyi Liu Yufeng Xu LiZhen Wang

作者单位: School of Information,Yunnan University,Kunming 650091,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)

会议地点: 珠海、澳门

会议语种:英文

页码: 1302-1307

在线出版日期: 2009-06-22（万方平台首次上网日期，不代表论文的发表时间）