Research on Interval Multiple Attribute Decision-Making Method Based on Gray Correlation Degree and TOPSIS

HAO ZHANG, XUEJUAN ZHU

Abstract


This paper investigates an interval multiple attribute decision making problem. In view of the fact that Euclidean distance and gray correlation degree can fully and faithfully reflect the proximity of the selected scheme to the ideal scheme from the distance and the different shape. So we propose a new decision making method based on grey correlation degree and TOPSIS. It accurately evaluates interval numbers multi-attribute index scheme. Finally, an example of a multiple attribute decision making problem with intervals is given to illustrate the feasibility and validity of the proposed method.

Keywords


interval multi-attribute decision making, gray correlation degree, TOPSIS, relative similarity degree.


DOI
10.12783/dtssehs/hsmet2017/16510

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