Grey Multiple Attribute Decision Making Method Based on the Minimaz Regret Approach

摘要：

Based on grey system theory, the grey attribute decision-making problem is discussed, in which the attribute values are interval grey numbers and the attribute weights are known. Aimed at the severe problems in tokens and computations of grey number, first, the concepts, such as standard interval grey number, the transformation rule from general grey number to the standard interval grey number, and the operation principle of the standard interval grey number are introduced. Second, comprehensive attribute values of each alternative are computed by the operation principle of the standard interval grey number. Finally, for ranking interval grey number, ranking method based on minimax regret approach is proposed. As a result, for this grey decision-making, an algorithm is presented. An example shows the rationality of grey attribute decision-making method and the validity of the algorithms mentioned above.

作者: XiaoXin Chen

作者单位: School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, P.R.China

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: 1066-1069

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）