Data envelopment analysis (DEA) is a methodology used to evaluate the relative efficiencies of peer decision-making units (DMUs) in multiple input, multiple output situations. In the original formulation, and in the vast literature that followed, the assumption was that all members of the input...

Data envelopment analysis (DEA) is a methodology for evaluating the efficiencies of decision-making units (DMUs), with each unit having its own set of inputs and outputs. However, there are situations where the DMUs can be interdependent. The authors in previous papers examine the case of a...

This paper presents an improved efficiency measurement tool by modifying the existing data envelopment analysis methodology to permit the incorporation of expert knowledge. A previous paper examined the inclusion of such knowledge within the additive model. This information appeared in the form...