Robustness of Efficiency Scores in Data Envelopment Analysis with Interval Scale Data

Nasim Nasrabadi, Akram Dehnokhalaji, Pekka Korhonen, Banu Lokman, Jyrki Wallenius

Research output: Contribution to journalArticlepeer-review

Abstract

Our paper focuses on a robustness analysis of efficiency scores in the context of Data Envelopment Analysis (DEA) assuming interval scale data, as defined in A. Dehnokhalaji, P. J. Korhonen, M. Köksalan, N. Nasrabadi and J. Wallenius, “Efficiency Analysis to incorporate interval scale data”, European Journal of Operational Research 207 (2), 2010, pp. 1116–1121. We first show that the definition of the efficiency score used in our paper is a well-defined measure according to Aparicio and Pastor (J. Aparicio and J. T. Pastor, “A well-defined efficiency measure for dealing with closest targets in DEA”, Applied Mathematics and Computation 219 (17), 2013, pp. 9142–9154.). Next, we characterize how robust the efficiency scores are with respect to improvements and deteriorations of inputs and outputs. We illustrate our analysis with two examples: a simple numerical example and a more complex example using real-world data.

Original languageEnglish
JournalEuropean Journal of Operational Research
Early online date29 Jun 2021
DOIs
Publication statusE-pub ahead of print - 29 Jun 2021

Bibliographical note

©2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license

Keywords

  • Robustness and sensitivity analysis
  • stability
  • interval scale data
  • DEA
  • efficiency measure
  • Interval scale data
  • Stability
  • Efficiency measure

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