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METHOD FOR OBTAINING SOLUTIONS BASED ON INTERVAL GREY NUMBER AND ENTROPY FOR MULTIPLE-CRITERIA GROUP DECISION MAKING PROBLEMS

机译:区间灰数和熵的多准则群决策问题求解方法

摘要

A method for obtaining solutions to make a decision multiple-opinions comprises the steps of (a) creating an n x m opinion decision matrix including language parameters used to evaluate n alternatives made by K decision makers participating in making a decision of the opinion according to m criteria; (b) normalizing an interval gray number corresponding to the language parameters for each opinion decision matrix of each decision maker to find the normalized opinion decision matrix; (c) calculating a weighted value for each criterion based on the variance at each criterion with respect to the normalized opinion decision matrix of each decision maker, and creating the weighted and normalized decision matrix by using the calculated weighted value; (d) deciding a positive ideal solution and a negative ideal solution from the weighted and normalized opinion decision matrix of each decision maker; (e) calculating a gray correlation coefficient with each decision maker by using the positive and negative ideal solutions and the weighted and normalized opinion decision matrix; (f) calculating each gray correlation index from the gray correlation coefficient for each alterative; (g) calculating a group division criterion for each alterative with respect to the gray correlation index of the opinion decision maker; (h) determining a proximity degree based on the group separation criterion for each alternative; and determining a level of the alternatives according to sizes of proximity degrees.
机译:一种获得用于做出决策多观点的解决方案的方法,该方法包括以下步骤:(a)创建一个nxm意见决策矩阵,该矩阵包括用于评估k个决策者根据m个标准参与做出意见决策的n个备选方案的语言参数; (b)对每个决策者的每个意见决策矩阵的与语言参数相对应的间隔灰度数进行归一化,以找到归一化的意见决策矩阵; (c)基于每个准则相对于每个决策者的标准化意见决策矩阵的方差来计算每个准则的加权值,并通过使用计算出的加权值来创建加权归一化决策矩阵; (d)从每个决策者的加权和规范化意见决策矩阵中确定正理想解和负理想解; (e)通过使用正负理想解以及加权和归一化的意见决策矩阵来计算每个决策者的灰色关联系数; (f)从每个替代方案的灰色相关系数计算每个灰色相关指数; (g)针对意见决策者的灰色关联指数,为每个替代方案计算一个分组划分标准; (h)根据组分离标准为每个备选方案确定接近程度;根据接近度的大小确定备选方案的级别。

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