Data envelopment analysis is a non-parametric method based on mathematical programming, which is used to evaluate the performance of a set of decision-making units with multiple homogeneous inputs and outputs. One use of data envelopment analysis is the integration of resources and inputs to create new efficient decision-making units. As a classic research topic in the fields of management and economics, the resource allocation problem has gained extensive attention from many researchers, and a large body of research has been conducted accordingly. The present study investigates some of the proposed methods and models of the allocation problem تفاصيل المقالة

Data envelopment analysis (DEA) is a method to evaluate the relative efficiency of decision making units (DMUs). In this method, the issue has always been to determine a set of weights for each DMU which often caused many problems. Since the DEA models also have the multi-objective linear programming (MOLP) problems nature, a rational relationship can be established between MOLP and DEA problems to overcome the problem of determining weights. In this study, a membership function was defined base on the results of CCR model and cross efficiency, and by using this membership function in a proposed model, we obtained a common set of weights for all DMUs. Finally, by solving a sample problem, the proposed algorithm was explained. تفاصيل المقالة