The applicability analysis and improvement of several index dimensionless methods

摘要

For the influence on some attribute value of index dimensionless method is not such as proportion, which affects the rationality of the decision results, with the problem of multiple attribute decision making based on grey correlation analysis as the background, the applicability of several kinds of commonly used index dimensionless method were studied. From the degree of relative state changes on the original sequence, the applicability of various index dimensionless methods were compared by the example based on the fixed type and non-fixed type two kinds of index data. On this basis, the disadvantages of index dimensionless method of average type and proportion type processing cost index were analyzed, the corresponding improvement methods were put forward. Finally, through the numerical example to verify the proposed method is reasonable and effective.