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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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