| Titre : | Data envelopment analysis, operational research and uncertainty (2011) |
| Auteurs : | Dyson, R. G., Auteur ; Shale, E. A., Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Journal of the operational research society (JORS) (Vol. 61 N° 1 (Issue spécial), Janvier 2010) |
| Article en page(s) : | pp. 25–34 |
| Note générale : | Recherche opérationnelle |
| Langues : | Anglais |
| Index. décimale : | 001.424 |
| Tags : | Data envelopment analysis Uncertainty Monte Carlo simulation |
| Résumé : | This paper discusses a number of applications of data envelopment analysis and the nature of uncertainty in those applications. It then reviews the key approaches to handling uncertainty in data envelopment analysis (DEA) (imprecise DEA, bootstrapping, Monte Carlo simulation and chance constrained DEA) and considers their suitability for modelling the applications. The paper concludes with suggestions about the challenges facing an operational research analyst in applying DEA in real-world situations. |
| DEWEY : | 001.424 |
| ISSN : | 0160-5682 |
| En ligne : | http://www.palgrave-journals.com/jors/journal/v61/n1/abs/jors2009145a.html |
