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Perturbations of all data in models of data envelopment analysis

In this paper arbitrary (or non-negative) additive perturbations of all data in the Charnes-Cooper-Rhodes (CCR) model preserving efficiency of an efficient Decision Making Unit (DMU) are considered first. Sufficient conditions for an efficient DMU to preserve its efficiency after arbitrary (or non-negative) additive perturbations of all data in the CCR model are given. Similar results for the additive model are presented, too.

Data envelopment analysis; CCR model; additive model; perturbations of all data; sensitivity analysis; linear programming

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