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dc.contributor.authorLlamazares Rodríguez, Bonifacio 
dc.date.accessioned2019-06-08T05:22:41Z
dc.date.available2019-06-08T05:22:41Z
dc.date.issued2018
dc.identifier.citationInternational Journal of Intelligent Systems, 2018, vol. 33, n. 4, p. 771-790.es
dc.identifier.issn1098-111Xes
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/36223
dc.descriptionProducción Científicaes
dc.description.abstractSemiuninorm-based ordered weighted averaging (SUOWA) operators are a specific case of Choquet integrals that allow us to generalize simultaneously weighted means and ordered weighting averaging (OWA) operators. Although SUOWA operators possess some very interesting properties, their main weakness is that, sometimes, the game used in their construction is not monotonic and it is necessary to calculate its monotonic cover. In this paper, we introduce a new family of weighting vectors, called unimodal weighting vectors, which embrace some of the most outstanding weighting vectors used in the framework of OWA operators, and we show that when using these weighting vectors and a specific semiuninorm we directly get normalized capacities. Moreover, we also show that these operators satisfy some properties which are very useful in practice.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherWileyes
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.subject.classificationSUOWA operatorses
dc.subject.classificationChoquet integrales
dc.titleConstruction of Choquet integrals through unimodal weighting vectorses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holderWileyes
dc.identifier.doi10.1002/int.21962es
dc.relation.publisherversionhttps://doi.org/10.1002/int.21962es
dc.peerreviewedSIes
dc.description.projectMinistry of Economy and Competitiveness and ERDF (Project ECO2016-77900-P)es


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