A two-stage model for ranking DMUs using DEA/AHP

In this paper, we present a two-stage model for ranking of decision making units (DMUs) using interval analytic hierarchy process (AHP). Since the eciency score of unity is assigned to the ecient units, we evaluate the eciency of each DMU by basic DEA models and calculate the weights of the criteria using proposed model. In the rst stage, the proposed model evaluates decision making units, and in the second stage it establishes pair-wise comparison matrix then ranks all DMUs by AHP. Finally, a numerical example and an application of the proposed model in 23 universities are provided.