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Reducing the Gap between Two MADM Models

National Journal of System and Information Technology

Volume 8 Issue 2

Published: 2015
Author(s) Name: Mohammad Azadfallah | Author(s) Affiliation:
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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

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