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dc.creatorŠpirková, Janaes_ES
dc.creatorBeliakov, Glebes_ES
dc.creatorBustince Sola, Humbertoes_ES
dc.creatorFernández Fernández, Francisco Javieres_ES
dc.date.accessioned2020-01-13T13:09:23Z
dc.date.available2020-04-01T23:00:17Z
dc.date.issued2019
dc.identifier.issn0020-0255
dc.identifier.urihttps://hdl.handle.net/2454/36055
dc.description.abstractWe consider mixture functions, which are a type of weighted averages for which the corresponding weights are calculated by means of appropriate continuous functions of their inputs. In general, these mixture function need not be monotone increasing. For this reason we study su cient conditions to ensure standard, weak and directional monotonicity for speci c types of weighting functions. We also analyze directional monotonicity when di erentiability is assumed.en
dc.description.sponsorshipJana Špirková has been supported by the Slovak Scientific Grant Agency VEGA no. 1/0093/17 Identification of risk factors and their impact on products of the insurance and savings schemes. Humberto Bustince and Javier Fernandez have been supported by Spanish Research Project TIN2016-77356-P (AEI/FEDER, UE).en
dc.format.extent43 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofInformation Sciences, 481, 2019, 520-549en
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.subjectAggregation functionen
dc.subjectMixture functionen
dc.subjectMonotonicityen
dc.subjectWeak monotonicityen
dc.subjectDirectional monotonicityen
dc.titleMixture functions and their monotonicityen
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 Matematika 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.embargo.terms2020-04-01
dc.identifier.doi10.1016/j.ins.2018.12.090
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-Pen
dc.relation.publisherversionhttps://doi.org/10.1016/j.ins.2018.12.090
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.