The Comparison of Three Methods for Ranking of some Iranian’s Bank Branch

In this paper, Data Envelopment Analysis (DEA), Principal Component analysis (PCA) and combine of them are compared when these three methods are used for ranking Decision Making Units (DMU) with multiple inputs and outputs DEA is a methodology using a linear programming model for evaluating and ranking DMU’s performance. PCA, a multivariate statistical method, uses new measure defined by DMU’s inputs and outputs and also the new method that proposed by combine these methods is used for evaluating and ranking of DMU’s performance. The results of three methods were applied to a real data set of some branches of Iranian banks