Representing a Multi-Step Technique of the Common weights and TOPSIS in order to Ranking of Units

In evaluating of organizations and institutions, one of the most important goals is the ranking of the units based on the performance of them. According to the commonly used method of decision-making in data envelopment analysis, it may lead to multiple efficient units that choose the best of units, is the main problems in data envelopment analysis. In this paper, a new method as the common weights has been studied in details. Two techniques (common weight and TOPSIS) have been studied on real data of the 17 banks in Semnan province. The results indicate that the two methods have achieved perfect ratings. By comparing the two methods, results have been showed that the common weights rating is closer to reality. In addition, common weight is a non-parametric method and has received a better ranking based on the performance (relative) efficient. Also, in the common weight all of the decisions making have taken together, while in the TOPSIS mode is not.