Efficiency Evaluation of Export Development Bank of Iran

In the measurement of efficiency, combining the Artificial Neural Network and AnalyticalHierarchy Process Model is one of the best methods that hasnot problems with traditionalmethods and artificial neural network such as: their inability to consider multiple input andoutput indicators, intregration of efficiency scores and obtaining the overall ranking ofbranches and their efficiency evaluating of the multiple output units. the present studycombining the Artificial Neural Network and Analytical Hierarchy Process Model byapplying an intermediary perspective, variables of total deposit, costs of attracting sources,operational costs as input and total facilities, profits obtained by facilities and earningswhich obtained by non-facilities (charge) as output variables to measure, evaluate andcompare the efficiency of branches of the Export Development Bank of Iran from 2004 to2014. The results of this study showed that, among the evaluated branches based oncomprehensive efficiency benchmark, Central and Zanjan branches were the most efficientones from 2004 to 2008 and 2008 to 2014 respectively.