DEA-MCDM Approach for Ranking Decision Making Units Using OWA Aggregation Operators

Abstract

DEA is a linear programming based non-parametric technique to measure the relative efficiencies of homogeneous decision making units. It includes the literature review on efficiency and cross-efficiency in DEA also on OWA / IOWA operators using orness and minimax disparity approach. Later, different cross-efficiency formulations and their mathematical models are discussed in details. Next, it includes cross-efficiency aggregation by OWA operators. It presents properties and characteristics of OWA operator weights. In the present work, we interpreted the aforementioned decision-problem as a MCDM problem and proposed a DEA-MCDM algorithmic approach for ranking DMUs. The proposed approach is further illustrated by an application to the educational institution.