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Stochasticity and stochastic variations in inputs and outputs represent a form of uncertainty. In this sense, incorporating stochastic variations of the input/output data into DEA models is an important subject that has received considerable attention over the past two decades. The underlying theories of DEA under a stochastic environment are presented in this chapter. This allows us to replace terms such as “efficient” and “inefficient” with “probably efficient” and “probably inefficient”, respectively.

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Stochastic Data Envelopment Analysis

  • 章节

  • 发表日期：

    2025年

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  • Alireza Amirteimoori,
  • Biresh K. Sahoo,
  • Vincent Charles,
  • Saber Mehdizadeh

摘要

Stochasticity and stochastic variations in inputs and outputs represent a form of uncertainty. In this sense, incorporating stochastic variations of the input/output data into DEA models is an important subject that has received considerable attention over the past two decades. The underlying theories of DEA under a stochastic environment are presented in this chapter. This allows us to replace terms such as “efficient” and “inefficient” with “probably efficient” and “probably inefficient”, respectively.