
Multiple attribute decision making method with intervals based on Mahalanobis-Taguchi system and TOPSIS method
CHANG Zhi-peng, CHENG Long-sheng, LIU Jia-shu
Systems Engineering - Theory & Practice ›› 2014, Vol. 34 ›› Issue (1) : 168-175.
Multiple attribute decision making method with intervals based on Mahalanobis-Taguchi system and TOPSIS method
For the problem of interval numbers multiple attribute decision, this paper proposes a ranking method for interval numbers decision vectors. This method processes the information of interval numbers decision vectors using Mahalanobis-Taguchi system and ranks interval numbers decision vectors using TOPSIS method. In this method, an m-dimensional interval numbers decision vector is regarded as super cuboids in m-dimensional attributes space; some points are uniformly and dispersedly selected by two-level orthogonal arrays. Those points compose of distribution points set to stand for decision making project. The distance of points in distribution points set of decision making project and distribution points set of positive ideal project is calculated with Mahalanobis distance; the closeness degree from decision making project to positive ideal project is defined by signal to noise ratio. The detailed decision making steps are given. Finally, an application example is analyzed. At the same time, the method proposed and others are compared, which shows the effectiveness and feasibility of the method.
Mahalanobis-Taguchi system / interval numbers / orthogonal arrays / Mahalanobis distance / signal to noise ratio / super cuboids {{custom_keyword}} /
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