2023
DOI: 10.1016/j.orp.2023.100284
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An unsupervised learning-based generalization of Data Envelopment Analysis

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Cited by 4 publications
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“…The recent literature reveals the application of machine learning methods in efficiency evaluation, often integrating different DEA (data envelopment analysis) methods. These applications predominantly utilize supervised machine learning methods, as exemplified in references [65,66], and to a lesser extent, unsupervised machine learning methods [67,68]. Applications of machine learning methods in efficiency evaluation with SFA (stochastic frontier analysis) are found even more infrequently [69], and the integration of machine learning methods with both DEA and SFA is very rare [70].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The recent literature reveals the application of machine learning methods in efficiency evaluation, often integrating different DEA (data envelopment analysis) methods. These applications predominantly utilize supervised machine learning methods, as exemplified in references [65,66], and to a lesser extent, unsupervised machine learning methods [67,68]. Applications of machine learning methods in efficiency evaluation with SFA (stochastic frontier analysis) are found even more infrequently [69], and the integration of machine learning methods with both DEA and SFA is very rare [70].…”
Section: Literature Reviewmentioning
confidence: 99%