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Uncertain Super-Efficiency Data Envelopment Analysis

In: Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

Author

Listed:
  • Pejman Peykani

    (Iran University of Science and Technology)

  • Jafar Gheidar-Kheljani

    (Malek Ashtar University of Technology)

  • Donya Rahmani

    (K. N. Toosi University of Technology)

  • Mohammad Hossein Karimi Gavareshki

    (Malek Ashtar University of Technology)

  • Armin Jabbarzadeh

    (École de Technologie Supérieure (ETS))

Abstract

The main goal of the current study is to propose a new method for ranking homogeneous decision-making units in the presence of uncertain inputs and/or outputs. To reach this goal, data envelopment analysis approach, super-efficiency technique, and uncertainty theory are applied. Accordingly, in this study, a novel uncertain super-efficiency data envelopment analysis approach is presented that is capable to be used under data uncertainty. Notably, the super-efficiency data envelopment analysis approach is proposed under constant returns to scale assumption and multiplier form. Additionally, to show the efficacy and applicability of the proposed method, a numerical example related to five decision-making units with two uncertain inputs and two uncertain outputs is utilized. The results indicate that the proposed uncertain super-efficiency data envelopment analysis approach is an effective and applicable method for performance evaluation and ranking of decision-making units under uncertainty environment.

Suggested Citation

  • Pejman Peykani & Jafar Gheidar-Kheljani & Donya Rahmani & Mohammad Hossein Karimi Gavareshki & Armin Jabbarzadeh, 2022. "Uncertain Super-Efficiency Data Envelopment Analysis," Contributions to Economics, in: M. Kenan Terzioğlu (ed.), Advances in Econometrics, Operational Research, Data Science and Actuarial Studies, pages 311-320, Springer.
    • Handle: RePEc:spr:conchp:978-3-030-85254-2_19
    DOI: 10.1007/978-3-030-85254-2_19
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