Evaluating different methods for ranking inputs in the context of the performance assessment of decision making units : A machine learning approach
Daniel Valero-Carreras, Raul Moragues, Juan Aparicio, Nadia M. Guerrero
| Year of publication: |
2024
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|---|---|
| Authors: | Valero-Carreras, Daniel ; Moragues, Raul ; Aparicio, Juan ; Guerrero, Nadia M. |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 163.2024, Art.-No. 106485, p. 1-12
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| Subject: | Data envelopment analysis | Ranking inputs | Support vector frontiers | Data-Envelopment-Analyse | Ranking-Verfahren | Ranking method | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Technische Effizienz | Technical efficiency | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Entscheidung | Decision |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2023.106485 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014560641