Probabilistic study of induced ordered linear fusion operators for time series forecasting

Baz González, Juan; Ferrero Jaurrieta, M.; Díaz Rodríguez, Susana Irene; Montes Rodríguez, Susana; Beliakov, G.; Bustince, H.

doi:10.1016/j.inffus.2023.102093

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Probabilistic study of induced ordered linear fusion operators for time series forecasting

dc.contributor.author	Baz González, Juan
dc.contributor.author	Ferrero Jaurrieta, M.
dc.contributor.author	Díaz Rodríguez, Susana Irene
dc.contributor.author	Montes Rodríguez, Susana
dc.contributor.author	Beliakov, G.
dc.contributor.author	Bustince, H.
dc.date.accessioned	2024-08-26T08:33:03Z
dc.date.available	2024-08-26T08:33:03Z
dc.date.issued	2024
dc.identifier.citation	Information Fusion, 103 (2024); doi:10.1016/j.inffus.2023.102093
dc.identifier.issn	1566-2535
dc.identifier.uri	https://hdl.handle.net/10651/74138
dc.description.sponsorship	J. Baz is partially supported by Programa Severo Ochoa of Principality of Asturias (BP21042). H. Bustince and M. Ferrero-Jaurrieta are supported by Agencia Estatal de Investigación (PID2019-108392GB-I00, AEI/10.13039/501100011033). J. Baz, S. Montes and I. Díaz are supported by the Ministry of Science and Innovation (PDI2022-139886NB-l00). The work of G. Beliakov was supported by the Australian Research Council Discovery project DP210100227.
dc.language.iso	eng
dc.relation.ispartof	Information Fusion
dc.rights	© 2023 The Authors.
dc.rights	CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175295262&doi=10.1016%2fj.inffus.2023.102093&partnerID=40&md5=18063bc8244abd9d1fb93a7b466159ba
dc.title	Probabilistic study of induced ordered linear fusion operators for time series forecasting
dc.type	journal article
dc.identifier.doi	10.1016/j.inffus.2023.102093
dc.local.notes	OA ATUO23
dc.relation.projectID	BP21042
dc.relation.projectID	info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/FUSION DE DATOS CONSIDERANDO LAS DISIMILITUDES Y OTROS TIPOS DE RELACIONES ENTRE LOS MISMOS Y APLICACION A INTELIGENCIA ARTIFICIAL/
dc.relation.projectID	PDI2022-139886NB-l00
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.inffus.2023.102093
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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