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dc.creatorAltalhi, A. H.es_ES
dc.creatorForcén Carvalho, Juan Ignacioes_ES
dc.creatorPagola Barrio, Migueles_ES
dc.creatorBarrenechea Tartas, Edurnees_ES
dc.creatorBustince Sola, Humbertoes_ES
dc.creatorTakáč, Zdenkoes_ES
dc.date.accessioned2020-01-27T09:50:35Z
dc.date.available2021-10-01T23:00:14Z
dc.date.issued2019
dc.identifier.issn0020-0255
dc.identifier.urihttps://hdl.handle.net/2454/36157
dc.description.abstractIn this work we study the relation between moderate deviation functions, restricted dissimilarity functions and restricted equivalence functions. We use moderate deviation functions in order to measure the similarity or dissimilarity between a given set of data. We show an application of moderate deviate functions used in the same way as penalty functions to make a final decision from a score matrix in a classification problem.en
dc.description.sponsorshipThis work was supported in part by the Spanish Ministry of Science and Technology under project TIN2016-77356-P (AEI / FEDER, UE) and by grant VEGA 1/0614/18 .en
dc.format.extent21 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofInformation Sciences, 501 (2019) 19-29en
dc.rights© 2019 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDeviationen
dc.subjectAggregation functionen
dc.subjectRestricted equivalence functionen
dc.subjectModerate deviation functionen
dc.subjectPenalty functionen
dc.titleModerate deviation and restricted equivalence functions for measuring similarity between dataen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.embargo.terms2021-10-01
dc.identifier.doi10.1016/j.ins.2019.05.078
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-Pen
dc.relation.publisherversionhttps://doi.org/10.1016/j.ins.2019.05.078
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes


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© 2019 Elsevier Inc.  This manuscript version is made available under the CC-BY-NC-ND 4.0.
Except where otherwise noted, this item's license is described as © 2019 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0.

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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