A Hybrid Approach of TOPSIS for Weapon Systems Selection

Abstract

Selecting a weapon system is an unstructured, complex decision problem with lots of aspects that must be considered. This paper presents a hybrid approach for use in the selecting of weapon systems. The hybrid approach combines analytic hierarchy process (AHP) and Information Entropy Method (IEM) to assign weights to the criteria to be used in weapon systems selection. These weights are then inputted into a TOPSIS (the technique for preference by similarity to ideal solution) model to determine the best alternative among the weapon systems. At last, a case is studied to demonstrate the effectiveness of the proposed approach. Results indicate that decision support provided by the approach could offset the shortcomings better than AHP alone and therefore provide more reasonable decisions.