Sensitivity Analysis for Multiple Criteria Decision Making Methods: TOPSIS and SAW

Abstract

AbstractThe quantitative multiple criteria decision making methods are practical to use in decision support systems. In this paper we analyse the quantitative multiple criteria decision making methods and sensitivity analysis methods usage in decision support systems. Both species of these methods are strongly mathematically based. We take notice of these sensitivity methods for initial data. Monte Carlo method is applied for the generation of initial data. The sensitivity analysis of methods TOPSIS and SAW is presented in this paper