Integrated Method of Grey Multi-attribute Risk Group Decision-making

摘要：

The problem of grey multi-attribute risk group decision-making is studied, when the attributive values are interval grey numbers and the attribute weights are unknown. Using grey incidence method of the grey system theory, Relative deviation degree based on the optimum alternative group and the worst alternative group, a new method is proposed. It establishes the integrated optimization model dealing the weights of index based on that the deviation of group members is minimum and the deviation between two groups is maximum. By using the model, the attribute weights can be gotten. Then, based on subjective preferences of decision-maker group, synthetically deviations of each alternative to the optimum alternative group and the worst alternative group are calculated to determine the ranking order of alternatives. Finally, an example is given to show the feasibility and availability of this method.

作者: Luo Dang Zhou Ling

作者单位: College of Mathematics and Information Sciences,North China University of Conservancy and Hydroelect College of Mathematics and Information Sciences,North China University of Conservancy and Hydroelect

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)

会议地点: 南京

会议语种:英文

页码: 1013-1018

在线出版日期: 2009-10-20（万方平台首次上网日期，不代表论文的发表时间）