Reference : Using Choquet integral in Machine Learning: what can MCDA bring?

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Mathematics Business & economic sciences : Quantitative methods in economics & management
	To cite this reference:	http://hdl.handle.net/10993/9587

Title :	Using Choquet integral in Machine Learning: what can MCDA bring?
Language :	English
Author, co-author :	Bouyssou, Denis [University Paris-Dauphine, Paris, France > Lamsade]
	Couceiro, Miguel [University Paris-Dauphine, Paris, France > Lamsade]
	Labreuche, Christophe [Thales Research & Technology, Palaiseau, France]
	Marichal, Jean-Luc [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Mathematics Research Unit >]
	Mayag, Brice [University Paris-Dauphine, Paris, France > Lamsade]
Publication date :	2012
Main document title :	DA2PL' 2012 - from Multiple Criteria Decision Aid to Preference Learning
Pages :	41-47
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	DA2PL Workshop (from Multiple Criteria Decision Aid to Preference Learning)
Event date :	from 15-11-2012 to 16-11-2012
Event organizer :	Marc Pirlot (UMONS) and Vincent Mousseau (ECP)
Event place (city) :	Mons
Event country :	Belgium
Abstract :	[en] In this paper we discuss the Choquet integral model in the realm of Preference Learning, and point out advantages of learning simultaneously partial utility functions and capacities rather than sequentially, i.e., first utility functions and then capacities or vice-versa. Moreover, we present possible interpretations of the Choquet integral model in Preference Learning based on Shapley values and interaction indices.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/9587
Other URL :	http://www.lgi.ecp.fr/DA2PL

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access DA2PL_Choquet_Paper_Bouyssou et Al.pdf Author postprint 144.09 kB View/Open Open access UsingChoquetIntegralInMachineLearning.pdf Publisher postprint 785.44 kB View/Open Additional material(s): File Commentary Size Access Open access Slides4-1.pdf Slides 494.14 kB View/Open Open access DA2PL.pdf Programme 335.82 kB View/Open

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