Towards a Classification of Rough Set Bireducts

dc.contributor.author	Benítez Caballero, María José
dc.contributor.author	Medina Moreno, Jesús
dc.contributor.author	Ramírez Poussa, Eloísa
dc.contributor.other	Matemáticas	es_ES
dc.date.accessioned	2020-11-12T10:51:10Z
dc.date.available	2020-11-12T10:51:10Z
dc.date.issued	2020
dc.identifier.isbn	978-303050152-5
dc.identifier.issn	1865-0929
dc.identifier.uri	http://hdl.handle.net/10498/23928
dc.description.abstract	Size reduction mechanisms are very important in several mathematical fields. In rough set theory, bireducts arose to reduce simultaneously the set of attributes and the set of objects of the considered dataset, providing subsystems with the minimal sets of attributes that connect the maximum number of objects preserving the information of the original dataset. This paper presents the main properties of bireducts and how they can be used for removing inconsistencies. © 2020, Springer Nature Switzerland AG.	es_ES
dc.format	application/pdf	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Springer	es_ES
dc.source	Communications in Computer and Information ScienceVolume 1239 CCIS, 2020, Pages 759-770	es_ES
dc.subject	Rough set theory	es_ES
dc.subject	Bireducts	es_ES
dc.subject	Size reduction	es_ES
dc.title	Towards a Classification of Rough Set Bireducts	es_ES
dc.type	conference output	es_ES
dc.rights.accessRights	open access	es_ES
dc.identifier.doi	10.1007/978-3-030-50153-2_56