Data Envelopment Analysis and non-discretionary inputs : How to select the most suitable model using multi-criteria decision analysis

Détails

ID Serval
serval:BIB_FEB5F1A027A0
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Data Envelopment Analysis and non-discretionary inputs : How to select the most suitable model using multi-criteria decision analysis
Périodique
Expert Systems with Applications
Auteur⸱e⸱s
Huguenin J.-M.
ISSN
0957-4174
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
42
Numéro
5
Pages
2570-2581
Langue
anglais
Résumé
Within Data Envelopment Analysis, several alternative models allow for an environmental adjustment. The majority of them deliver divergent results. Decision makers face the difficult task of selecting the most suitable model. This study is performed to overcome this difficulty. By doing so, it fills a research gap. First, a two-step web-based survey is conducted. It aims (1) to identify the selection criteria, (2) to prioritize and weight the selection criteria with respect to the goal of selecting the most suitable model and (3) to collect the preferences about which model is preferable to fulfil each selection criterion. Second, Analytic Hierarchy Process is used to quantify the preferences expressed in the survey. Results show that the understandability, the applicability and the acceptability of the alternative models are valid selection criteria. The selection of the most suitable model depends on the preferences of the decision makers with regards to these criteria.
Mots-clé
data envelopment analysis, alternative models, analytic hierarchy process
Création de la notice
03/11/2014 9:57
Dernière modification de la notice
20/08/2019 16:29
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