Data envelopment analysis

Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers.^[1] DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications^[2]^[3]^[4] Additionally, DEA has been used to assess the performance of natural language processing models, and it has found other applications within machine learning.^[5]^[6]^[7]

^ Charnes et al (1978)
^ Charnes et al (1995)
^ Emrouznejad et al (2016)
^ Thanassoulis (1995)
^ Koronakos and Sotiropoulos (2020)
^ Zhou et al (2022)
^ Guerrero et al (2022)

[:0-1] Charnes et al (1978)

[Charnes95-2] Charnes et al (1995)

[:15-3] Emrouznejad et al (2016)

[:16-4] Thanassoulis (1995)

[5] Koronakos and Sotiropoulos (2020)

[:18-6] Zhou et al (2022)

[:17-7] Guerrero et al (2022)

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Data envelopment analysis

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