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Conventional and Fuzzy Data Envelopment Analysis with deaR

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  • Vicente J. Bolos
  • Rafael Benitez
  • Vicente Coll-Serrano

Abstract

deaR is a recently developed R package for data envelopment analysis (DEA) that implements a large number of conventional and fuzzy models, along with super-efficiency models, cross-efficiency analysis, Malmquist index, bootstrapping, and metafrontier analysis. It should be noted that deaR is the only package to date that incorporates Kao-Liu, Guo-Tanaka and possibilistic fuzzy models. The versatility of the package allows the user to work with different returns to scale and orientations, as well as to consider special features, namely non-controllable, non-discretionary or undesirable variables. Moreover, it includes novel graphical representations that can help the user to display the results. This paper is a comprehensive description of deaR, reviewing all implemented models and giving examples of use.

Suggested Citation

  • Vicente J. Bolos & Rafael Benitez & Vicente Coll-Serrano, 2025. "Conventional and Fuzzy Data Envelopment Analysis with deaR," Papers 2506.03766, arXiv.org.
    • Handle: RePEc:arx:papers:2506.03766
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