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Supplier Selection using MADM Method Under Uncertainty


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1 Business Studies and Development Office, Islamic Republic of Iran, Iran, Islamic Republic of
     

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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 Shannon's 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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  • Supplier Selection using MADM Method Under Uncertainty

Abstract Views: 270  |  PDF Views: 0

Authors

Mohammad Azadfallah
Business Studies and Development Office, Islamic Republic of Iran, Iran, Islamic Republic of

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 Shannon's 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.