文章基本信息

标题：Group Decision-Making Method for Dynamic Cloud Model Based on Cumulative Prospect Theory
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作者：Xiaoxia Wang ; Fengbao Yang ; Dawei Li 等
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2016
卷号：9
期号：10
页码：283-290
出版社：SERSC
摘要：Group decision-making is a situation faced whenindividualscollectively make a choice from the alternatives before them. Aiming to the drawback that not all plans can be evaluated by a single expert during group decision-making process, a groupdecision-making method fordynamicclouddistribution is proposed in this paper based on cumulativeprospecttheory. First, experts and plans were divided into groups according to the classification rule, and plans were described with the cloudmodel. The expectation, the entropy and the super entropy decision matrix were structured respectively. Then, the maximum and minimum values in decision matrix were set as positive and negative reference points. The parameter values of cumulativecloud prospect were calculated and the synthesis prospect values of every group were obtained. Finally, the plans were sorted based on the mean of synthesis prospect values for every group, and illustrated by specific examples. The ranking results show that the proposed method is rationality and practicability. So the proposed method can be widely used in group decision-making of groupingscheme or grouping expert.
关键词：Dynamic group decision-making; Cumulative prospect theory; Cloud ;model; Comprehensive prospect value