-

Data envelopment analysis (DEA) is one of the most efficient approaches calculating the relative efficiency of decision-making units by applying a strong mathematical basis. This non-parametric technique has been presented by Charnes, Cooper and Rodes for measuring and evaluating the relative efficiency of decision-making units (DMUs) with multiple input and output.
In initial DEA models, the criteria for measuring efficiency was radial measure. A full ranking of units was not presented in the model and the model merely categorized the DMUs in two subcategories, namely, efficient and non-efficient. Moreover, this model could not present an adequate discrimination between the obtained results. Thus, this article concentrates on solving the above mentioned difficulties. The article also will emphasize on using the concept of DEA for the improvement of discrimental power in order to present a full ranking of DMUs. Hence, at the beginning of the article the input efficiency profile of each input is discussed and then the suggested technique of IEP/AHP is presented for a full ranking of DMUs. Finally the IEP model will be integrated into analytical hierarchy process (IHP).