Decision Making Method for Dual Uncertain Information based on Grey Incidence Analysis and Grey Relative Entropy Optimization
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所属单位：经济与管理学院
发表刊物：JOURNAL OF GREY SYSTEM
关键字：Grey System Grey Decision-making Synthetic Degree of Grey Incidence Interval Grey Number Relative Entropy
摘要：In this paper, we investigate multi-attribute group decision-making (MAGDM) problems with dual uncertain information. On the basis of considering the views of the majority, we first set the initial weights of decision makers (DMs) by the synthetic degrees of grey incidence. Then we estimate the weight ranges of attributes by the dissimilarity degrees between attributes. Furthermore based on the view of dual information optimally fitting to each other, the relative entropy minimization model is proposed to revise the weights of DMs and attributes. Finally alternatives are ranked by the absolute degrees of grey incidence to the ideal alternative. The, method proposed in this paper is illustrated with a practical case.
ISSN号：0957-3720
是否译文：否
发表时间：2017-01-01
合写作者：Song, Wen,Zhang, Shitao,陈晔
通讯作者：朱建军