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dc.creatorPekala, Barbaraes_ES
dc.creatorBentkowska, Urszulaes_ES
dc.creatorSesma Sara, Mikeles_ES
dc.creatorFernández Fernández, Francisco Javieres_ES
dc.creatorLafuente López, Julioes_ES
dc.creatorAltalhi, A. H.es_ES
dc.creatorKnap, Maksymilianes_ES
dc.creatorBustince Sola, Humbertoes_ES
dc.creatorPintor Borobia, Jesús Maríaes_ES
dc.date.accessioned2020-07-03T12:54:12Z
dc.date.available2020-07-03T12:54:12Z
dc.date.issued2020
dc.identifier.issn1875-6891
dc.identifier.urihttps://hdl.handle.net/2454/37301
dc.description.abstractIn this paper, the problem of measuring the degree of subsethood in the interval-valued fuzzy setting is addressed. Taking into account the widths of the intervals, two types of interval subsethood measures are proposed. Additionally, their relation and main properties are studied. These developments are made both with respect to the regular partial order of intervals and with respect to admissible orders. Finally, some construction methods of the introduced interval subsethood measures with the use interval-valued aggregation functions are examined.en
dc.description.sponsorshipThis work was partially supported by the Centre for Innovation and Transfer of Natural Sciences and Engineering Knowledge of University of Rzeszów, Poland, the project RPPK.01.03.00-18-001/10. Moreover, Urszula Bentkowska acknowledges the support of the Polish National Science Centre grant number 2018/02/X/ST6/00214. Mikel Sesma-Sara, Javier Fernández and Humberto Bustince were partially supported by Research project TIN2016-77356-P(AEI/UE/FEDER) of the Spanish Government.en
dc.format.extent11 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherAtlantis Pressen
dc.relation.ispartofInternational Journal of Computational Intelligence Systems, 2020, 13 (1), 167-177en
dc.rights© 2020 The Authors. This is an open access article distributed under the CC BY-NC 4.0 licenseen
dc.subjectAggregation functionen
dc.subjectInterval-valued fuzzy seten
dc.subjectSubsethood measureen
dc.titleInterval subsethood measures with respect to uncertainty for the interval-valued fuzzy settingen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticases_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematikak Sailaeu
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingenieríaes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Ingeniaritza Sailaeu
dc.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Citieses_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.2991/ijcis.d.200204.001
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-Pen
dc.relation.publisherversionhttps://doi.org/10.2991/ijcis.d.200204.001
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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