Search Results for topsis

Abstract

Measure the efficiency of decision-making units (DMUs) using quantitative approaches plays important role to help decision maker to enhance the organization efficiency. Also, integrating more than one quantitative approach have received more attention recently. This paper presents an efficient computational approach which consist of integrating two multi-criteria decision making approaches. The first is the data envelopment analysis (DEA) model and it used to measure the efficiency of the DMUs based on their inputs and outputs and the second approach is Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The presented approach has teased using dataset as in [12] of municipal services in Thi Qar Province, focusing on seven municipalities within the region. Using the presented approach, first we identify the relative efficiency using DEA models. Second, we rank all DMUs that reach full efficiency. Using a dataset comprising three inputs and three outputs associated with municipal services. The result of paper shows that this approach is reliable and easy to implement and it is suitable for helping the decision maker to reach the optimal decision for sustainable evaluation.