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dc.contributor.authorLlamazares Rodríguez, Bonifacio 
dc.date.accessioned2016-12-09T10:28:49Z
dc.date.available2016-12-09T10:28:49Z
dc.date.issued2016
dc.identifier.citationInternational Journal of Intelligent Systems, 2016, vol. 31, p. 827–851es
dc.identifier.issn0884-8173es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/21495
dc.descriptionProducción Científicaes
dc.description.abstractWeighted ordered weighted averaging (WOWA) and semiuninorm-based ordered weighted averaging (SUOWA) operators are two families of aggregation functions that simultaneously generalize weighted means and OWA operators. Both families can be obtained by using the Choquet integral with respect to normalized capacities. Therefore, they are continuous, monotonic, idempotent, compensative, and homogeneous of degree 1 functions. Although both families fulfill good properties, there are situations where their behavior is quite different. The aim of this paper is to analyze both families of functions regarding some simple cases of weighting vectors, the capacities from which they are building, the weights affecting the components of each vector, and the values they return.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherWileyes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMatemáticases
dc.subjectOperadores, Teoría dees
dc.titleA Behavioral Analysis of WOWA and SUOWA Operatorses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1002/int.21806es
dc.relation.publisherversionhttp://onlinelibrary.wiley.comes
dc.identifier.publicationfirstpage827es
dc.identifier.publicationlastpage851es
dc.identifier.publicationtitleInternational Journal of Intelligent Systemses
dc.identifier.publicationvolume31es
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía, Industria y Competitividad (ECO2012-32178)es
dc.description.projectJunta de Castilla y León (programa de apoyo a proyectos de investigación – Ref. VA066U13)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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