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dc.contributor.authorGonzález de la Fuente, Luis 
dc.contributor.authorNieto Reyes, Alicia 
dc.contributor.authorTerán, Pedro
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-03-18T17:18:14Z
dc.date.available2024-03-18T17:18:14Z
dc.date.issued2023-11
dc.identifier.issn0165-0114
dc.identifier.issn1872-6801
dc.identifier.otherPID2022-139237NB-I00es_ES
dc.identifier.otherMTM2017-86061-C2-2-Pes_ES
dc.identifier.urihttps://hdl.handle.net/10902/32316
dc.description.abstractThe recently defined concept of statistical depth function for fuzzy sets provides a theoretical framework for ordering fuzzy sets with respect to the distribution of a fuzzy random variable. One of the most used and studied statistical depth functions for multivariate data is simplicial depth, based on multivariate simplices. We introduce a notion of pseudosimplices generated by fuzzy sets and propose three generalizations of simplicial depth to fuzzy sets. Their theoretical properties are analyzed and the behavior of the proposals is illustrated through a study of both synthetic and real data.es_ES
dc.description.sponsorshipThis research was supported by grant PID2022-139237NB-I00 funded by MCIN /AEI/10.13039/501100011033 and "ERDF A way of making Europe". L. González was also supported by grant MTM2017-86061-C2-2-P funded by MCIN /AEI/10.13039/501100011033 and "ERDF A way of making Europe". For Alicia Nieto-Reyes this research was also funded by grant number 21.VP67.64662 of the "Proyectos Puente 2022" from the Spanish "Consejería de Universidades, Igualdad, Cultura y Deporte del Gobierno de Cantabria". P. Terán is also supported by the Ministerio de Ciencia, Innovación y Universidades grant PID2019-104486GB-I00 and the Consejería de Empleo, Industria y Turismo del Principado de Asturias grant GRUPIN-IDI2018-000132.es_ES
dc.format.extent25 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rights©2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).es_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceFuzzy Sets and Systems, 2023, 471, 108678es_ES
dc.subject.otherFuzzy dataes_ES
dc.subject.otherFuzzy random variablees_ES
dc.subject.otherNonparametric statisticses_ES
dc.subject.otherStatistical depthes_ES
dc.subject.otherSimplicial Depthes_ES
dc.titleSimplicial depths for fuzzy random variableses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.fss.2023.108678es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.fss.2023.108678
dc.type.versionpublishedVersiones_ES


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©2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Excepto si se señala otra cosa, la licencia del ítem se describe como ©2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).