A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: Applications of the Kappalab R package
The application of multi-attribute utility theory whose aggregation process is based on the Choquet integral requires the prior identification of a capacity. The main approaches to capacity identification proposed in the literature are reviewed and their advantages and inconveniences are discussed. All the reviewed methods have been implemented within the Kappalab R package. Their application is illustrated on a detailed example.
|Date of creation:||Apr 2008|
|Date of revision:|
|Publication status:||Published in European Journal of Operational Research, Elsevier, 2008, 186 (2), pp.766-785. <10.1016/j.ejor.2007.02.025>|
|Note:||View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00187175|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
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- Marichal, Jean-Luc & Roubens, Marc, 2000. "Determination of weights of interacting criteria from a reference set," European Journal of Operational Research, Elsevier, vol. 124(3), pages 641-650, August.
- Karatzoglou, Alexandros & Smola, Alexandros & Hornik, Kurt & Zeileis, Achim, 2004. "kernlab - An S4 Package for Kernel Methods in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i09).
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