Algorithm of dynamic hybrid multi-attribute group decision-making based on two reference points

被引：0
|
作者：
Pei F. [1 ]
Zhang L.-L. [1 ]
Yan A. [1 ]
机构：
[1] School of Management, Hefei University of Technology, Hefei
来源：
Kongzhi yu Juece/Control and Decision | 2018年 / 33卷 / 03期
关键词：
Dynamic; Mixed information; Multi-attribute group decision-making; Reference point;
D O I：
10.13195/j.kzyjc.2016.1608
中图分类号：
学科分类号：
摘要：
With respect to the dynamic multi-attribute group decision-making problem with mixed information of the three-parameter interval grey number and triangular fuzzy number, a dynamic method based on the prospect theory and two reference points is proposed. For the problem of mixed gray numbers and fuzzy numbers, the mixed target model is proposed. In order to understand the dynamic development of each alternative, the time reference point is set based on the mean value and the average development speed. By investigating the similarity between individual decision-making and group decision-making, the adjustment model of expert's weight is established. Considering the multiple stages in the development of decision-making, the entropy weight method is used to determine the weight of time. Finally, a numerical example is given to illustrate the feasibility and practicability of the proposed method. © 2018, Editorial Office of Control and Decision. All right reserved.
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页码：571 / 576
页数：5
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