| 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 | 2024-02-08T17:24:15Z | |
| dc.date.available | 2024-02-08T17:24:15Z | |
| dc.date.issued | 2018 | |
| dc.identifier.issn | 0020-0255 | |
| dc.identifier.uri | http://hdl.handle.net/10498/30916 | |
| dc.description.abstract | The construction of reducts, that is, minimal sets of attributes containing the main in- formation of a database, is a fundamental task in different frameworks, such as in For- mal Concept Analysis (FCA) and Rough Set Theory (RST). This paper will be focused on a general fuzzy extension of FCA, called multi-adjoint concept lattice, and we present a study about the attributes generating meet-irreducible elements and on the reducts in this framework. From this study, we introduce interesting results on the cardinality of reducts and the consequences in the classical case. | es_ES |
| dc.description.sponsorship | Partially supported by the Spanish Economy and Competitiveness Ministry (MINECO) project TIN2016-76653-P | es_ES |
| dc.format | application/pdf | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Elsevier | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.source | Information Sciences, 422(2018), 364–376 | es_ES |
| dc.subject | Formal concept analysis; Reducts; Attribute reduction | es_ES |
| dc.subject | Formal concept analysis | es_ES |
| dc.subject | Reducts | es_ES |
| dc.subject | Attribute reduction | es_ES |
| dc.title | Characterizing reducts in multi-adjoint concept lattices | es_ES |
| dc.type | journal article | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.identifier.doi | 10.1016/J.INS.2017.08.099 | |
| dc.relation.projectID | nfo:eu-repo/grantAgreement/MINECO//TIN2016-76653-P/ | es_ES |
| dc.type.hasVersion | SMUR | es_ES |