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A new robust optimization approach to common weights formulation in DEA

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  • Maziar Salahi
  • Mehdi Toloo
  • Narges Torabi

Abstract

Flexibility in selecting the weights of inputs and outputs in data envelopment analysis models and uncertainty associated with the data might lead to unreliable efficiency scores. In this paper, to avoid these problems, first, we discuss robust Charnes, Cooper, Rhodes (CCR) model under Bertsimas and Sim approach. Then, the robust CCR solutions are used to find robust common set of weights under norm-1 and Bertsimas and Sim approach. Finally, on two numerical real-world examples, the performance of the proposed approach is compared by a similar recent approach from the literature to show the advantages of the new method and its applicability.

Suggested Citation

  • Maziar Salahi & Mehdi Toloo & Narges Torabi, 2021. "A new robust optimization approach to common weights formulation in DEA," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(6), pages 1390-1402, June.
    • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:6:p:1390-1402
    DOI: 10.1080/01605682.2020.1718016
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    Cited by:

    1. Pejman Peykani & Jafar Gheidar-Kheljani & Reza Farzipoor Saen & Emran Mohammadi, 2022. "Generalized robust window data envelopment analysis approach for dynamic performance measurement under uncertain panel data," Operational Research, Springer, vol. 22(5), pages 5529-5567, November.

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