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Reducing the Gap between Two MADM Models


Affiliations
1 Industrial Management, Islamic Azad University, Science and Research Branch, Tehran, Iran, Islamic Republic of
     

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Several methods have been proposed for solving Multi-Attribute Decision-Making problems (MADM). A major criticism of MADM is that different techniques may yield different results when applied to the same problem. In this paper, we investigate the performance of two well-known MADM models: 1. AHP, and 2. TOPSIS. Although, there is no exact way to know which model gives the right answer. But, AHP was selected as the basis to which to compare the other methods, because it extremely popular in practice. Then, by changing the separation measures in TOPSIS model from P=2 (Euclidean distance) to another values (P≠2; i.e. 1.1, 1.2, etc., based on Birnbaum, 1998, p. 185), result are investigated.

Keywords

MADM, AHP, TOPSIS, Separation Measures, Euclidean Distance.
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  • Reducing the Gap between Two MADM Models

Abstract Views: 305  |  PDF Views: 2

Authors

Mohammad Azadfallah
Industrial Management, Islamic Azad University, Science and Research Branch, Tehran, Iran, Islamic Republic of

Abstract


Several methods have been proposed for solving Multi-Attribute Decision-Making problems (MADM). A major criticism of MADM is that different techniques may yield different results when applied to the same problem. In this paper, we investigate the performance of two well-known MADM models: 1. AHP, and 2. TOPSIS. Although, there is no exact way to know which model gives the right answer. But, AHP was selected as the basis to which to compare the other methods, because it extremely popular in practice. Then, by changing the separation measures in TOPSIS model from P=2 (Euclidean distance) to another values (P≠2; i.e. 1.1, 1.2, etc., based on Birnbaum, 1998, p. 185), result are investigated.

Keywords


MADM, AHP, TOPSIS, Separation Measures, Euclidean Distance.

References