Dealing with weighting scheme in composite indicators : an unsupervised distance-machine learning proposal for quantitative data
Eduardo Jiménez-Fernández, Angeles Sánchez, Mario Ortega-Pérez
| Year of publication: |
2022
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|---|---|
| Authors: | Jiménez-Fernández, Eduardo ; Sánchez, Angeles ; Ortega-Pérez, Mario |
| Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier, ISSN 0038-0121, ZDB-ID 208905-1. - Vol. 83.2022, p. 1-11
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| Subject: | Benchmarking | Composite indicator | MARS | P2 distance | Unsupervised machine learning | Weighting scheme | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.seps.2022.101339 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013363718