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Memariani, A., Amini, A., Alinezhad, A. (2009). Sensitivity Analysis of Simple Additive Weighting Method (SAW): The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives. Journal of Optimization in Industrial Engineering, Volume 2(Issue 4), 13-18.
Azizollah Memariani; Abbas Amini; Alireza Alinezhad. "Sensitivity Analysis of Simple Additive Weighting Method (SAW): The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives". Journal of Optimization in Industrial Engineering, Volume 2, Issue 4, 2009, 13-18.
Memariani, A., Amini, A., Alinezhad, A. (2009). 'Sensitivity Analysis of Simple Additive Weighting Method (SAW): The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives', Journal of Optimization in Industrial Engineering, Volume 2(Issue 4), pp. 13-18.
Memariani, A., Amini, A., Alinezhad, A. Sensitivity Analysis of Simple Additive Weighting Method (SAW): The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives. Journal of Optimization in Industrial Engineering, 2009; Volume 2(Issue 4): 13-18.

Sensitivity Analysis of Simple Additive Weighting Method (SAW): The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives

Article 2, Volume 2, Issue 4, Summer and Autumn 2009, Page 13-18  XML PDF (107.77 K)
Authors
Azizollah Memariani1; Abbas Amini2; Alireza Alinezhad email 3
1Department of mathematics & computer sciences, school of economic sciences, Tehran, Iran
2Department of industrial engineering, Tarbiat Modares University, Tehran, Iran
3Department of industrial engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran
Abstract
Most of data in a multi-attribute decision making (MADM) problem are unstable and changeable, then sensitivity analysis after problem solving can effectively contribute to making accurate decisions. This paper provides a new method for sensitivity analysis of MADM problems so that by using it and changing the weights of attributes, one can determine changes in the final results of a decision making problem. This analysis applied for SAW technique, one of the most used multi-attribute decision making techniques, and the formulas are obtained.
Keywords
Multi-attribute decision making (MADM); SAW Technique; sensitivity analysis; Ranking methods; Attribute weight
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