Supplier Selection using MADM Method Under Uncertainty
Published: 2016
Author(s) Name: Mohammad Azadfallah |
Author(s) Affiliation: Researcher,Buss Studies &Devp Office,Saipayadak(Saipa after sales services),Islamic Republic of Iran
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Abstract
In existing literature, there are several studies on supplier selection process, which opine that the suppliers information is usually
incomplete and uncertain. Several methods have been proposed for solving this problem, one of which is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method with interval data. There is no doubt that the TOPSIS with interval data method is a powerful technique in uncertain decision-making context. Despite its usefulness, it is logical that when data are imprecise, weight is imprecise too. To overcome this limit, the extended Shannons Entropy method with interval data is used. The main findings of this study confirm the effectiveness of the hybrid proposed models.
Keywords: TOPSIS, Entropy, Uncertainty, Supplier Selection Problem
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