Article (Scientific journals)
An axiomatic approach to the definition of the entropy of a discrete Choquet capacity
Kojadinovic, Ivan; Marichal, Jean-Luc; Roubens, Marc
2005In Information Sciences, 172 (1-2), p. 131-153
Peer reviewed
 

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Keywords :
entropy; choquet capacity; choquet integral; information theory
Abstract :
[en] To extend the classical Shannon entropy to non-additive measures, Marichal recently introduced the concept of generalized entropy for discrete Choquet capacities. We provide a first axiomatization of this new concept on the basis of three axioms: the symmetry property, a boundary condition for which the entropy reduces to the Shannon entropy, and a generalized version of the well-known recursivity property. We also show that this generalized entropy fulfills several properties considered as requisites for defining an entropy-like measure. Lastly, we provide an interpretation of it in the framework of aggregation by the discrete Choquet integral.
Disciplines :
Quantitative methods in economics & management
Computer science
Mathematics
Identifiers :
UNILU:UL-ARTICLE-2010-389
Author, co-author :
Kojadinovic, Ivan;  École polytechnique de l’Université de Nantes, Nantes, France > LINA CNRS FRE 2729
Marichal, Jean-Luc ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Applied Mathematics Unit (SMA)
Roubens, Marc;  University of Liège, Belgium > Institute of Mathematics
Language :
English
Title :
An axiomatic approach to the definition of the entropy of a discrete Choquet capacity
Publication date :
09 June 2005
Journal title :
Information Sciences
ISSN :
0020-0255
Publisher :
Elsevier Science
Volume :
172
Issue :
1-2
Pages :
131-153
Peer reviewed :
Peer reviewed
Name of the research project :
Recherches méthodologiques et mathématiques en aide à la décision et à la classification > 01/01/2005 – 12/12/2007 > BISDORFF Raymond
Funders :
University of Luxembourg - UL
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