Extension on Regularity Condition in DEA Models

Data envelopment analysis (DEA) is a method to estimate the relative eciency of decision making units(DMUs) performing similar tasks in a production system that consumes multiple inputs to produce multiple outputs. So far, a number of DEA models have been developed: The CCR model and the BCC model are well known as basic DEA models. The generic regularity condition for the CCR model is introduced so that each weakly efficient decision making unit in the CCR model of data envelopment analysis is also CCR-efficient. In this study, we give a general regularity condition under which each weakly efficient decision making unit in the BCC model and Additive model of data envelopment analysis is also BCC-efficient and Additive-efficient,respectively