A generalized SBM super-efficiency in fuzzy data envelopment analysis

Document Type : Original Paper

Authors

Department of Mathematics, Semnan University, Semnan, Iran

Abstract

The slacks-based measure super-efficiency model is presented for ranking SBM's efficient decision making units. Fuzzy data envelopment analysis models have been introduced to evaluate uncertain inputs and outputs for decision making units (DMUs). In this methods, mostly used α-cut procedure. Also, sample fuzzy decision making units in these methods cannot be assessed. This paper proposes generalized fuzzy super-efficiency model which includes, old fuzzy DEA models, and evaluates the sample decision making units. This scheme embraces evaluation method based on vector. As an empirical example, the proposed method is applied to the flexible manufacturing system data to rank efficient units.

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References

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Journal of Advanced Mathematical Modeling
Volume 9, Issue 2
September 2019
Pages 126-145

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History

  • Receive Date: 05 April 2017
  • Revise Date: 18 May 2019
  • Accept Date: 06 September 2019

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