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dc.creatorMiguel Turullols, Laura dees_ES
dc.creatorPaternain Dallo, Danieles_ES
dc.creatorLizasoain Iriso, María Inmaculadaes_ES
dc.creatorOchoa Lezaun, Gustavoes_ES
dc.creatorBustince Sola, Humbertoes_ES
dc.date.accessioned2018-11-28T09:46:40Z
dc.date.available2020-08-02T23:00:13Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/2454/31632
dc.description.abstractOrdered weighted average (OWA) operators are commonly used to aggregate information in multiple situations, such as decision making problems or image processing tasks. The great variety of weights that can be chosen to determinate an OWA operator provides a broad family of aggegating functions, which obviously give diferent results in the aggregation of the same set of data. In this paper, some possible classifications of OWA operators are suggested when they are de ned on m-dimensional intervals taking values on a complete lattice satisfying certain local conditions. A first classification is obtained by means of a quantitative orness measure that gives the proximity of each OWA to the OR operator. In the case in which the lattice is finite, another classification is obtained by means of a qualitative orness measure. In the present paper, several theoretical results are obtained in order to perform this qualitative value for each OWA operator.en
dc.description.sponsorshipThis work has been partially supported by MINECO, AEI/FEDER, UE under project TIN2016-77356-P.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofApplied Mathematics and Computation, volume 339, 15 december 2018, pages 63-80en
dc.rights© 2018 Elsevier Inc. The manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectOWA operatoren
dc.subjectLattice-valued fuzzy setsen
dc.subjectInterval-valued fuzzy setsen
dc.subjectOrnessen
dc.subjectT-normen
dc.subjectT-conormen
dc.titleOrness measurements for lattice m-dimensional interval-valued OWA operatorsen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticases_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Sailaeu
dc.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. InaMat - Institute for Advanced Materialses_ES
dc.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Citieses_ES
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.embargo.terms2020-08-02
dc.identifier.doi10.1016/j.amc.2018.07.013
dc.identifier.doi0096-3003
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-77356en
dc.relation.publisherversionhttps://doi.org/10.1016/j.amc.2018.07.013
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


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© 2018 Elsevier Inc. The manuscript version is made available under the CC BY-NC-ND 4.0 license.
Except where otherwise noted, this item's license is described as © 2018 Elsevier Inc. The manuscript version is made available under the CC BY-NC-ND 4.0 license.