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The use of the discrete Sugeno integral in decision making: a survey
Dubois, Didier; Marichal, Jean-Luc; Prade, Henri et al.
2001In Colorni, A.; Paruccini, M.; Roy, B. (Eds.) AMCDA - Aide Multi Critère à la Décision (Multiple Criteria Decision Aiding)
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Keywords :
Sugeno integral; aggregation procedures; multi-criteria decision-making; decision-making under uncertainty
Abstract :
[en] An overview of the use of the discrete Sugeno integral as either an aggregation tool or a utility function is presented in the qualitative framework of two decision paradigms: multi-criteria decision-making and decision-making under uncertainty. The parallelism between the representation theorems in both settings is stressed, even if a basic requirement like idempotency should be explicitely stated in multi-criteria decision-making, while its counterpart is implicit in decision under uncertainty by equating the utility of a constant act with the utility of its consequence. Important particular cases of Sugeno integrals such as prioritized minimum and maximum operators, their ordered versions, and Boolean max-min functions are studied.
Disciplines :
Quantitative methods in economics & management
Mathematics
Computer science
Identifiers :
UNILU:UL-CHAPTER-2010-160
Author, co-author :
Dubois, Didier;  Université Paul Sabatier, Toulouse, France > Institut de Recherche en Informatique de Toulouse
Marichal, Jean-Luc ;  University of Liège, Belgium > Institute of Mathematics
Prade, Henri;  Université Paul Sabatier, Toulouse, France > Institut de Recherche en Informatique de Toulouse
Roubens, Marc;  University of Liège, Belgium > Institute of Mathematics
Sabbadin, Regis;  INRA de Toulouse, France > Unité de Biométrie et Intelligence artificielle
Language :
English
Title :
The use of the discrete Sugeno integral in decision making: a survey
Publication date :
2001
Main work title :
AMCDA - Aide Multi Critère à la Décision (Multiple Criteria Decision Aiding)
Editor :
Colorni, A.
Paruccini, M.
Roy, B.
Publisher :
European Communities, Luxembourg, Unknown/unspecified
ISBN/EAN :
9789289409940
Pages :
81-98
Peer reviewed :
Peer reviewed
Funders :
University of Liège, Belgium
Available on ORBilu :
since 26 October 2013

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