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Sensitivity in data envelopment analysis using an approximate inverse matrix

In this paper sensitivity analysis of the Charnes-Cooper-Rhodes (CCR) model in Data Envelopment Analysis (DEA) is studied for the case of perturbation of all outputs and of all inputs of an efficient Decision Making Unit (DMU). Using an approximate inverse of the perturbed optimal basis matrix, an approximate preservation of efficiency for an efficient DMU under these perturbations is considered. Sufficient conditions for an efficient DMU to preserve its efficiency are obtained in that case. An illustrative example is provided.

Data envelopment analysis; efficiency; CCR model; optimal basis matrix inverse approximation; sensitivity analysis; linear programming

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