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

Details

Serval ID
serval:BIB_FEB5F1A027A0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Data Envelopment Analysis and non-discretionary inputs : How to select the most suitable model using multi-criteria decision analysis
Journal
Expert Systems with Applications
Author(s)
Huguenin J.-M.
ISSN
0957-4174
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
42
Number
5
Pages
2570-2581
Language
english
Abstract
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.
Keywords
data envelopment analysis, alternative models, analytic hierarchy process
Create date
03/11/2014 10:57
Last modification date
20/08/2019 17:29
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