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Data Envelopment Analysis with Uncertain Inputs and Outputs

Author

Listed:
  • Meilin Wen
  • Linhan Guo
  • Rui Kang
  • Yi Yang

Abstract

Data envelopment analysis (DEA), as a useful management and decision tool, has been widely used since it was first invented by Charnes et al. in 1978. On the one hand, the DEA models need accurate inputs and outputs data. On the other hand, in many situations, inputs and outputs are volatile and complex so that they are difficult to measure in an accurate way. The conflict leads to the researches of uncertain DEA models. This paper will consider DEA in uncertain environment, thus producing a new model based on uncertain measure. Due to the complexity of the new uncertain DEA model, an equivalent deterministic model is presented. Finally, a numerical example is presented to illustrate the effectiveness of the uncertain DEA model.

Suggested Citation

  • Meilin Wen & Linhan Guo & Rui Kang & Yi Yang, 2014. "Data Envelopment Analysis with Uncertain Inputs and Outputs," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-7, August.
    • Handle: RePEc:hin:jnljam:307108
    DOI: 10.1155/2014/307108
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    Cited by:

    1. Mahmood Esfandiari & Saber Saati & Mehrzad Navabakhsh & Kaveh Khalili-Damghani, 2019. "A novel Data Envelopment Analysis model with complex numbers. Measuring the efficiency of generators in steam power plants," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(4), pages 41-52.
    2. Mohammad Jamshidi & Masoud Sanei & Ali Mahmoodirad & Farhad Hoseinzadeh Lotfi & Ghasem Tohidi, 2021. "Uncertain SBM data envelopment analysis model: A case study in Iranian banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2674-2689, April.

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