Cross Efficiency of Decision Making Units with the Negative Data in Data Envelopment Analysis

نویسندگان

  • Ghasem Tohidi
  • Shabnam Razavyan
چکیده

The cross-efficiency evaluation is an effective method to evaluate the decision making units (DMUs) with the nonnegative inputs and outputs in data envelopment analysis (DEA) and can be performed with the different formulations. But, in some situations the DMUs encounter with the negative inputs and outputs. This paper generalizes the cross efficiency evaluation for the DMUs with the negative inputs and outputs in DEA environment. To this end, first it defines the cross efficiency for the DMUs with the negative data and then proposes a model using ideal points and range directional model (RDM). Finally, the proposed model is modified to reduce the nonzero weights. To illustrate the proposed models a numerical example is given.

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تاریخ انتشار 2012