Secondary Goal in DEA Cross Efficiency Evaluation
نویسندگان
چکیده
Data envelopment analysis (DEA) is a method for estimating efficiency of decision making units (DMU).The method done by means of weighted output to input ratio with the weights being optimal virtual prices of such activities for all units. Cross efficiency evaluation has long been proposed as an alternative method for ranking DMUs. The major problem that reduced the usefulness of cross efficiency evaluation method is that, the cross efficiency score because of alternative optimal cross efficiency may not be unique. In order to resolve this problem, another secondary goal is introduced in this research to reduce the alternative optimal cross efficiency on the base of linear programming and to improve the secondary goal proposed by Doyle et al (1994). A numerical example is then provided to illustrate the capability of this new DEA model.
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A New Goal programming approach for cross efficiency evaluation
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