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Chance-Constrained DEA

In: Handbook on Data Envelopment Analysis

Author

Listed:
  • William W. Cooper

    (University of Texas at Austin)

  • Zhimin Huang

    (Adelphi University)

  • Susan X. Li

    (Adelphi University)

Abstract

Incorporation of random variations into DEA analysis has received significant attention in recent years. This chapter describes some of these developments and offers examples of possible uses in the area of chance-constrained programming models in DEA.

Suggested Citation

  • William W. Cooper & Zhimin Huang & Susan X. Li, 2011. "Chance-Constrained DEA," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 211-240, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-6151-8_9
    DOI: 10.1007/978-1-4419-6151-8_9
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    Cited by:

    1. Amirteimoori, Alireza & Cezar, Asunur & Zadmirzaei, Majid & Susaeta, Andres, 2024. "Environmental performance evaluation in the forest sector: An extended stochastic data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).

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