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针对基于Vague集信息的多属性群决策专家水平评判问题提出了两种评判方法.首先引进了基于Vague集信息的多属性群决策信息体(即决策信息体)的相关概念,通过决策信息体构造了基于Vague集信息的一致性决策矩阵及模糊熵,其次利用Vague集信息的相似度量以及Vague集信息的模糊熵两种信息不确定性度量方法,对基于Vague集信息的多属性群决策专家水平评判问题提出了两种评判方法,即统计分析方法和模糊熵分析方法,对专家的评判水平进行排序.最后,通过一个算例说明两种方法的一致性、有效性和实用性.
Two evaluation methods are proposed for the evaluation of experts in multi-attribute group decision making based on Vague set information.Firstly, the concepts of multi-attribute group decision-making information body (that is, decision-making information body) based on Vague set information are introduced and constructed by decision information body Based on the consistency decision matrix and fuzzy entropy of Vague set information, and using the similarity measure of Vague set information and the fuzzy entropy of Vague set information, this paper analyzes the uncertainty of multi-attribute group decision-making experts based on Vague set information Judgment issues put forward two kinds of judgment methods, namely statistical analysis method and fuzzy entropy analysis method, and rank the experts’evaluation level.At last, an example is given to show the consistency, validity and practicability of the two methods.