Sensitivity Analysis Using Simple Additive Weighting Method

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Wayne S. Goodridge 1,*

1. Department of Computing and Information Technology, The University of the West Indies, Trinidad and Tobago, W.I

* Corresponding author.


Received: 20 Aug. 2015 / Revised: 5 Nov. 2015 / Accepted: 16 Jan. 2016 / Published: 8 May 2016

Index Terms

SAW, Sensivity Analysis, MCDM, Objective Function


The output of a multiple criteria decision method often has to be analyzed using some sensitivity analysis technique. The SAW MCDM method is commonly used in management sciences and there is a critical need for a robust approach to sensitivity analysis in the context that uncertain data is often present in decision models. Most of the sensitivity analysis techniques for the SAW method involve Monte Carlo simulation methods on the initial data. These methods are computationally intensive and often require complex software. In this paper, the SAW method is extended to include an objective function which makes it easy to analyze the influence of specific changes in certain criteria values thus making easy to perform sensitivity analysis.

Cite This Paper

Wayne S. Goodridge, "Sensitivity Analysis Using Simple Additive Weighting Method", International Journal of Intelligent Systems and Applications(IJISA), Vol.8, No.5, pp.27-33, 2016. DOI:10.5815/ijisa.2016.05.04


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