Article ID: | iaor20171498 |
Volume: | 68 |
Issue: | 5 |
Start Page Number: | 484 |
End Page Number: | 495 |
Publication Date: | May 2017 |
Journal: | J Oper Res Soc |
Authors: | De Smet Yves, Bagherikahvarin Maryam |
Keywords: | statistics: data envelopment analysis, management |
Operational research (OR) offers efficient tools to support managers in strategic decision‐making processes. Data envelopment analysis (DEA) and multiple criteria decision aid (MCDA) are two important research areas in OR. These two domains are both based on the evaluation of ‘objects’ according to multiple ‘points of views’. Within the MCDA framework, choosing appropriate weights for the different criteria often arises as a problem itself for decision makers. As a consequence, researchers have developed original methodologies to help them during this elicitation phase. In this work, we aim to investigate how DEA can be used to propose weights in the context of the PROMETHEE II method. More precisely, we suggest an extension of the so‐called ‘decision maker brain’ used in the GAIA plane (also known as PROMETHEE VI) based on DEA. The underlying idea is based on the computation of weights in PROMETHEE (GAIA brain) which are compatible with the DEA analysis. We end this paper with a numerical example.