%0 Journal Article
%T The logical encoding of Sugeno integrals
%+ Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA)
%+ Centre National de la Recherche Scientifique (CNRS)
%+ Institut de recherche en informatique de Toulouse (IRIT)
%+ Equipe de Recherche en Ingénierie des Connaissances (ERIC)
%A Dubois, Didier
%A Prade, Henri
%A Rico, Agnès
%< avec comité de lecture
%Z ERIC:14-013
%@ 0165-0114
%J Fuzzy Sets and Systems
%I Elsevier
%V vol. 241
%P pp. 61-75
%8 2014-04-16
%D 2014
%R 10.1016/j.fss.2013.12.014
%K Discrete Sugeno Integrals
%K Possibilistic Logic
%K Possibility Theory
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Machine Learning [cs.LG]
%Z Computer Science [cs]/Logic in Computer Science [cs.LO]
%Z Computer Science [cs]/Computation and Language [cs.CL]Journal articles
%X Sugeno integrals are a well-known family of qualitative multiple criteria aggregation operators. The paper investigates how the behavior of these operators can be described in a prioritized propositional logic language, namely possibilistic logic. The case of binary-valued criteria, which amounts to providing a logical description of the fuzzy measure underlying the integral, is first considered. The general case of a Sugeno integral when criteria are valued on a discrete scale is then studied.
%G English
%2 https://hal.science/hal-01123494/document
%2 https://hal.science/hal-01123494/file/Dubois_12975.pdf
%L hal-01123494
%U https://hal.science/hal-01123494
%~ UNIV-TLSE2
%~ UNIV-TLSE3
%~ CNRS
%~ UNIV-LYON2
%~ ERIC
%~ SMS
%~ UT1-CAPITOLE
%~ UDL
%~ IRIT
%~ IRIT-ADRIA
%~ IRIT-IA
%~ TOULOUSE-INP
%~ UNIV-UT3
%~ UT3-INP
%~ UT3-TOULOUSEINP