On the decomposition of Generalized Additive Independence models
Michel Grabisch and
Christophe Labreuche ()
Additional contact information
Christophe Labreuche: Thales Research and Technology
Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne
Abstract:
The GAI (Generalized Additive Independence) model proposed by Fishburn is a generalization of the additive utility model, which need not satisfy mutual preferential independence. Its great generality makes however its application and study difficult. We consider a significant subclass of GAI models, namely the discrete 2-additive GAI models, and provide for this class a decomposition into nonnegative monotone terms. This decomposition allows a reduction from exponential to quadratic complexity in any optimization problem involving discrete 2-additive models, making them usable in practice
Keywords: multiattribute utility; multichoice games (search for similar items in EconPapers)
JEL-codes: C4 C6 C71 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2015-09
New Economics Papers: this item is included in nep-dcm and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
ftp://mse.univ-paris1.fr/pub/mse/CES2015/15064.pdf (application/pdf)
Related works:
Working Paper: On the decomposition of Generalized Additive Independence models (2015) 
Working Paper: On the decomposition of Generalized Additive Independence models (2015) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mse:cesdoc:15064
Access Statistics for this paper
More papers in Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne Contact information at EDIRC.
Bibliographic data for series maintained by Lucie Label ().