An algorithm for determining common weights by concept of membership function
Subject Areas : History and biography
1 - Department of Mathematics, North Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Mathematics, North Tehran Branch,
Islamic Azad University, Tehran, Iran
Keywords: Data envelopment analysis (DEA), Common Set of Weights, Cross efficiency, Multi-objective programming problem, Membership function,
Abstract :
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.
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