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多指标(准则、属性)综合排序的方法基本上有:1.化多指标为单一指标的简单加权法;2.根据相对贴近度排序的双基点法(TOPSIS法);3.采用加权欧氏距离的LINMAP法;4.消去和选择转换算法(ELECTRE法)。其中,双基点法是利用理想点和反理想点所构成的空间,每个排序方案(项目、对象)视为空间上的一个点,通过计算排序方案对于理想点的相对贴近程度进行排序的。 在文献[1]中,为了简化相对贴近度的计算,对指标矩阵进行了规格化,使反理想点成为原点,而
The methods of comprehensive ranking based on multiple indicators (criteria, attributes) are basically as follows: 1. Simple weighted method with multiple indicators as single indicator; 2. Double-point method with relative closeness ranking (TOPSIS method); 3. Weighted weighted Euclidean distance LINMAP method; 4. Elimination and selection of conversion algorithm (ELECTRE method). Among them, the double-point method is the use of the ideal point and the anti-ideographic point of the space, each scheduling program (project, object) as a point in space, by calculating the ranking of the relative order of the ideal point sorting. In [1], in order to simplify the calculation of relative closeness, the index matrix is normalized so that the anti-ideal point becomes the origin and