| dc.contributor.author | Sánchez Ramos, Luciano | |
| dc.date.accessioned | 2019-04-25T06:04:05Z | |
| dc.date.available | 2019-04-25T06:04:05Z | |
| dc.date.issued | 2018 | |
| dc.identifier.isbn | 978-84-09-05643-9 | |
| dc.identifier.uri | http://hdl.handle.net/10651/51052 | |
| dc.description | Conferencia de la Asociación Española para la Inteligencia Artificial (18th, 2018, Granada) | |
| dc.description.sponsorship | This work was supported by the Science and Innovation Spanish Ministry under Projects TIN2014-56967-R and TIN2017-84804-R | |
| dc.language.iso | eng | spa |
| dc.publisher | Asociación Española para la Inteligencia Artificial | |
| dc.relation.ispartof | XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) | spa |
| dc.rights | © F. Herrera et al. (Eds.), 2018 | |
| dc.title | Engine health monitoring with fuzzy data: lessons learned from aircraft industry | spa |
| dc.type | conference output | spa |
| dc.relation.projectID | TIN2014-56967-R | |
| dc.relation.projectID | TIN2017-84804-R | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM | |
