A new link between output-oriented BCC model with fuzzy data in the present of undesirable outputs and MOLP

In recent years, the relation between data envelopment analysis and multiple objective linear programming has received a great deal of attention from researchers. However, there are two difficulties in doing an objective evaluation of the performance of decision making units. The first one is how to treat undesirable factors jointly produced with the desirable factors and the second one is how to treat with imprecise data. In this paper, we establish an equivalence relation between multiple objective linear programming and the output-oriented Banker, Charnes, Cooper(BCC) model in the present of undesirable factors and fuzzy data such that the decision maker’s prefer

Data envelopment analysis Multiple objective linear programming Fuzzy numbers Undesirable factors Target unit