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dc.contributor.authorGarcía Lapresta, José Luis 
dc.contributor.authorPérez Román, David 
dc.date.accessioned2016-12-09T13:45:00Z
dc.date.available2016-12-09T13:45:00Z
dc.date.issued2015
dc.identifier.citationApplied Soft Computing, 2015, vol. 35, p. 864–872es
dc.identifier.issn1568-4946es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/21500
dc.descriptionProducción Científicaes
dc.description.abstractIn this paper, we introduce ordinal proximity measures in the setting of unbalanced qualitative scales by comparing the proximities between linguistic terms without numbers, in a purely ordinal approach. With this new tool, we propose how to measure the consensus in a set of agents when they assess a set of alternatives through an unbalanced qualitative scale. We also introduce an agglomerative hierarchical clustering procedure based on these consensus measures.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDecision makinges
dc.titleOrdinal proximity measures in the context of unbalanced qualitativescales and some applications to consensus and clusteringes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doihttp://dx.doi.org/10.1016/j.asoc.2015.02.035es
dc.relation.publisherversionhttp://www.sciencedirect.comes
dc.identifier.publicationfirstpage864es
dc.identifier.publicationlastpage872es
dc.identifier.publicationtitleApplied Soft Computinges
dc.identifier.publicationvolume35es
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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