Sensitivity Analysis for Quantitative Decision Making Methods: Topsis and Saw
نویسندگان
چکیده
Abstract The quantitative multiple criteria decision making methods are practical to use in decision support systems. In this paper we analyses 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 sensitivity of these methods to initial data. Monte Carlo method is applied for the generation initial data. It is submitted analysis sensitivity of methods TOPSIS and SAW.
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تاریخ انتشار 2010