| dc.contributor.author | Antoni, Lubomir | |
| dc.contributor.author | Cornejo Piñero, María Eugenia | |
| dc.contributor.author | Medina Moreno, Jesús | |
| dc.contributor.author | Ramírez Poussa, Eloísa | |
| dc.contributor.other | Matemáticas | es_ES |
| dc.date.accessioned | 2024-02-08T20:04:51Z | |
| dc.date.available | 2024-02-08T20:04:51Z | |
| dc.date.issued | 2021 | |
| dc.identifier.issn | 1063-6706 | |
| dc.identifier.uri | http://hdl.handle.net/10498/30939 | |
| dc.description.abstract | The problem of reducing information in databases is an important topic in formal concept analysis, which has been studied in several articles. In this article, we consider the fuzzy en- vironment of the multi-adjoint concept lattices, since it is a general fuzzy framework that allows us to easily establish degrees of pref- erence on the elements of the considered database. We introduce algorithms to discover the information contained in the relational system. By means of these algorithms, we classify the attributes of a multi-adjoint context, and build a minimal subset of attributes preserving the information of the original knowledge system. | es_ES |
| dc.description.sponsorship | The work of L. Antoni was supported in part by the Slovak Research and Development Agency under Contract APVV-15-0091. The work of M. E. Cornejo, J. Medina, and E. Ramírez-Poussa was supported in part by the Spanish Economy and Competitiveness Ministry (MINECO) under Project TIN2016-76653-P, in part by the Department of Economy, Knowl- edge, Business and University of the Regional Government of Andalusia in project FEDER-UCA18-108612, and in part by the European Cooperation in Science & Technology (COST) Action CA17124. | es_ES |
| dc.format | application/pdf | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | IEEE | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.source | IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 29, NO. 5, pp. 1121-1132 | es_ES |
| dc.subject | Concept lattice reduction | es_ES |
| dc.subject | formal concept analysis | es_ES |
| dc.subject | fuzzy sets | es_ES |
| dc.title | Attribute Classification and Reduct Computation in Multi-Adjoint Concept Lattices | es_ES |
| dc.type | journal article | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.identifier.doi | 10.1109/TFUZZ.2020.2969114 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/Ministerio de Economía y competitividad/CONVOCATORIA 2016 - PROYECTOS I+D - PROGRAMA ESTATAL DE FOMENTO DE LA INVESTIGACIÓN CIENTÍFICA Y TÉCNICA DE EXCELENCIA SUBPROGRAMA ESTATAL DE GENERACIÓN DE CONOCIMIENTO/TIN2016-76653-P/ | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/Consejería de Economía, Conocimiento, Empresas y Universidad de la Junta de Andalucía/Proyectos de I+D+i en el marco del Programa Operativo FEDER Andalucía 2014-2020/FEDER-UCA18-108612 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/European Cooperation in Science & Technology//Action CA17124 | es_ES |
| dc.type.hasVersion | SMUR | es_ES |