首页> 外国专利> METHOD FOR OBTAINING SOLUTIONS BASED ON WEIGHTING ANALYTIC HIERARCHY PROCESS, GREY NUMBER AND ENTROPY FOR MULTIPLE-CRITERIA GROUP DECISION MAKING PROBLEMS

METHOD FOR OBTAINING SOLUTIONS BASED ON WEIGHTING ANALYTIC HIERARCHY PROCESS, GREY NUMBER AND ENTROPY FOR MULTIPLE-CRITERIA GROUP DECISION MAKING PROBLEMS

机译:多标准群决策问题的加权层次分析,灰阶和熵的求解方法

摘要

According to an embodiment of the present invention, a method for deriving a solution of a multiple decision making problem comprises the following steps: generating, by the K number of decision makers participating in decision making, a decision making matrix consisting of linguistic variables which evaluate the n number of alternatives in accordance with the m number of references by each decision maker; obtaining normalized decision making matrixes; operating weight values for each reference based on an entropy in each reference; generating relative weight values which are operated based on each column value of a determination matrix which is generated by calculating relative importance for other reference of any one reference; operating normalized comprehensive weight values which multiply the weight values of each reference and the relative weight values of each reference, and generating a weighting normalized grey decision making matrix by using the operated comprehensive weight values and a normalized grey decision making matrix; generating a grey correlation coefficient and a grey correlation index, and operating a group separation measure by using a positive ideal solution, a negative ideal solution, and the weighting normalized decision making matrix; and determining rankings of the alternatives in accordance with a size order of relative proximities determined based on the group separation measure.
机译:根据本发明的实施例,一种用于推导多重决策问题的解决方案的方法包括以下步骤:由参与决策的K个决策者生成由语言变量组成的决策矩阵,该语言变量评估根据每个决策者的m个参考,n个备选方案;获得标准化的决策矩阵;基于每个参考中的熵的每个参考的工作权重值;产生相对权重值,所述相对权重值基于确定矩阵的每个列值来操作,所述确定矩阵是通过计算任意一个参考的另一参考的相对重要性而生成的;操作归一化综合权重值,将每个参考的权重值与每个参照的相对权重值相乘,并通过使用所求和的综合权重值和归一化灰色决策矩阵生成加权归一化灰色决策矩阵;生成灰度相关系数和灰度相关指标,并使用正理想解,负理想解和加权归一化决策矩阵进行群分离测度;根据根据组分离度量确定的相对邻近度的大小顺序,确定备选方案的排名。

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