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Performance evaluation has always been considered as one of the critical issues in every and each organization. In order to identify, adjust and apply the changes in their short-term and long-term goals, every organization needs to evaluate its performance continuously. Considering the key role of banks as one of the most important financial and economic parts of any society, it is important to evaluate the performance of these financial institution. In this study, 100 third level branches of Keshavarzi Bank were evaluated with 36 sub-indicators (7 inputs and 29 outputs) and these 36 sub-indicators were clustered in 3 inputs and 7 outputs. In this research, CCR-O model is used as the main model and to reduce the number of sub-indicators and obtain main-indicators three scenarios were performed (simple average, weighted average by using weights from AHP and Principle Component Analysis (PCA)) and outputs of these three scenarios were used as CCR-O inputs. Finally, increasing of discrimination power in all three scenarios was examined using coefficient of variation and it was understood that discrimination power in PCA-DEA scenario increased more than the other two.

Keywords: Performance Evaluation, Data envelopment analysis, Principle Component Analysis

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