Assessing the Efficiency of Iranian Banks Using the Data Envelopment Analysis and Fuzzy Logic

As organizations became more widespread and the scope of the supervisors increased, evaluating and controlling organizational units became a necessity for managers. Banks as one of the most important economic units that can provide a great opportunity for the growth and development of a country's economy through a broad banking operation. Considering the very important role of banks in the economy of Iran, their inadequate and unhealthy performance can create crises. Hence, the purpose of this study is to measure the performance and ranking of banks under the central bank using the fuzzy data envelopment analysis technique. The research community includes all banks under the supervision of the Central Bank between ۲۰۱۰ and ۲۰۱۲. In this research, BCC output-oriented BCC model will be used to evaluate the performance of the banks under the supervision of the central bank. The results of the research showed that out of a total of ۱۹ banks under the supervision of the central bank, the melat banks and the Eghtesad novin were found to be effective, and inefficient banks including saderat banks, sarmaye, maskan, which had the least efficiency, and Sina Banks, Post Bank, melli, Pasargadae, Saman, Refah, Keshavarzi, Parsian, Karafarin, Sepah, Bank of Tejarat and Dey. The results also show that the Mellat Bank has been in a steady trend, and Eghtesad novin bank has left a significant jump among efficient banks, after which it has maintained a steady trend and the banks of Sepah, Saderat, Sina, Tejarat, Melli, Saman, Keshavarzi, Parsian, Pasargadae and Post Bank, despite being inefficient, have always been on the upside, with Maskan, Saderat, Sanat o madan and Dey banks and downside as well as capital banks having a steady trend at the lowest level of performance.

کلیدواژه ها:

Data Envelopment Analysis ، DEA ، Fuzzy Logic Theory ، Efficiency