A hybrid multi-criteria decision support model: Combining DANP with MDS

Abstract

Human beings encounter the problem of making decision in their daily life. However, most decision makers, when encounter the decision problems involving multi-criteria or diverse alternatives, they could not make correct decision due to lacking related decision-making information. Therefore, what is most concerned by the decision makers is how to pick out the most optimal decision-making evaluation factors and the best execution alternataive for a multi-criteria decision making (MCDM) problem. This study combined the merits of various decision-making analytic methods, namely, decision making trial and evaluation laboratory (DEMATEL), analytic network process (ANP) and Multidimensional Scaling (MDS), so as to propose a four-stage Hybrid Decision-Making Support Model (HDMSM) to assist the decision makers in making the best decision when they face a decision problem.