On the influence of admissible orders in IVOVO
| dc.contributor.author | Uriz Martín, Mikel Xabier | |
| dc.contributor.author | Paternain Dallo, Daniel | |
| dc.contributor.author | Bustince Sola, Humberto | |
| dc.contributor.author | Galar Idoate, Mikel | |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, PJUPNA13 | es |
| dc.date.accessioned | 2020-04-17T10:27:15Z | |
| dc.date.available | 2020-08-26T23:00:11Z | |
| dc.date.issued | 2019 | |
| dc.description | Trabajo presentado a la 14th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2019. León (España), 2019 | es_ES |
| dc.description.abstract | It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for multi-class problems called IVOVO, and we analyze the effectiveness of considering different admissible orders in the aggregation phase of IVOVO. We demonstrate that the choice of an appropriate admissible order allows the method to obtain significant differences in terms of accuracy. | en |
| dc.description.sponsorship | This work has been partially supported by the Spanish Ministry of Science and Technology under the project TIN2016-77356-P and the Public University of Navarre under the project PJUPNA13. | en |
| dc.embargo.lift | 2020-08-26 | |
| dc.embargo.terms | 2020-08-26 | |
| dc.format.extent | 12 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.1007/978-3-030-29859-3_31 | |
| dc.identifier.isbn | 978-3-030-29859-3 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/36749 | |
| dc.language.iso | eng | en |
| dc.publisher | Springer | en |
| dc.relation.ispartof | Pérez García H., Sánchez González L., Castejón Limas M., Quintián Pardo H., Corchado Rodríguez E. (eds): Hybrid Artificial Intelligent Systems. HAIS 2019. Lecture Notes in Computer Science, vol 11734. Springer, Cham. | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-P/ | |
| dc.relation.publisherversion | https://doi.org/10.1007/978-3-030-29859-3_31 | |
| dc.rights | © Springer Nature Switzerland AG 2019 | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Multi-class classification problems | en |
| dc.subject | One-vs-one strategy | en |
| dc.subject | Interval-valued fuzzy sets | en |
| dc.subject | Admissible order | en |
| dc.title | On the influence of admissible orders in IVOVO | en |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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