Data Envelopment Analysis ( DEA ) with Uncertain Inputs and Outputs

Data envelopment analysis (DEA) is an effective method to evaluate the relative efficiency of decision-making units (DMUs). In one hand, the DEA models need accurate inputs and outputs data. On the other hand, in many situations, inputs and outputs are volatile and complex so that they are difficult to measure in an accurate way. The conflict leads to the researches of uncertain DEA models. This paper will give a mew DEA model in uncertain environment. Due to the complexity of the uncertain DEA model, a equivalent deterministic model is presented by some theorems. Finally, a numerical example is presented to illustrate the effectiveness of the uncertain DEA model.

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