Choosing weights for a complete ranking of DMUs using restrictions in DEA models

Data envelopment analysis (DEA) is a mathematical programming technique that evaluates the efficiency of decision making units (DMUs), specifically when the multiplicity of inputs and outputs associated with those is considered. This paper is concerned with the selection of weights between the alternate optimal solutions of the dual multiplier formulation of the DEA models. When these alternative optimal solutions exist different Balance index which are obtained from basic definitions of DEA models can be used for a complete ranking of DMUs. As a result, we propose a novel method for selection best solution in new index evaluation.

کلیدواژه ها:

Data envelopment analysis ، Complete ranking ، New index