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

Sensitivity Analysis for Quantitative Decision Making Methods: Topsis and Saw

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 dat...

Sensitivity analysis for criteria values in decision making matrix of SAW method

sensitivity analysis for criteria values in decision making matrix of saw method

sensitivity analysis for criteria values in decision making matrix of saw method

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An OWA-TOPSIS method for multiple criteria decision analysis

A hybrid approach integrating OWA (Ordered Weighted Averaging) aggregation into TOPSIS (technique for order performance by similarity to ideal solution) is proposed to tackle multiple criteria decision analysis (MCDA) problems. First, the setting of extreme points (ideal and anti-ideal points) in TOPSIS is redefined and extended for handling the multiple extreme points situation where a decisio...