Parametric Dea Models with Weights Restrictions

نویسندگان

  • Armando Zeferino
  • José dos Campos
  • Rodrigo Cesar da Silva
چکیده

In this article, we discuss a method for distributing a new input or output to a set of decision making units so that by the end of the distribution all units are considered efficient in the DEA-CCR concept. The formulation follows the pattern referred in the literature as parametric DEA. This paper’s contribution is introducing the possibility of modeling with the inclusion of constraints on the relative weights of the variables (inputs and outputs) previously present in the problem.

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تاریخ انتشار 2010