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Representative Set of Objects in Rough Sets Based on Galois Connections

dc.contributor.authorMadrid Labrador, Nicolás Miguel 
dc.contributor.authorRamírez Poussa, Eloísa 
dc.contributor.otherEstadística e Investigación Operativaes_ES
dc.date.accessioned2021-01-14T10:10:31Z
dc.date.available2021-01-14T10:10:31Z
dc.date.issued2020
dc.identifier.isbn978-303052704-4
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10498/24202
dc.description.abstractThis paper introduces a novel definition, called representative set of objects of a decision class, in the framework of decision systems based on rough sets. The idea behind such a notion is to consider subsets of objects that characterize the different classes given by a decision system. Besides the formal definition of representative set of objects of a decision class, we present different mathematical properties of such sets and a relationship with classification tasks based on rough sets. © 2020, Springer Nature Switzerland AG.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceLecture Notes in Computer Science Volume 12179 LNAI, 2020, Pages 349-361 International Joint Conference on Rough Sets, IJCRS 2020; Havana; Cuba; 29 June 2020 through 3 July 2020; Code 242009es_ES
dc.subjectAttribute reductiones_ES
dc.subjectDecision systemses_ES
dc.subjectObject reduction reductes_ES
dc.subjectRough Set Theoryes_ES
dc.titleRepresentative Set of Objects in Rough Sets Based on Galois Connectionses_ES
dc.typeconference outputes_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1007/978-3-030-52705-1_26


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This work is under a Creative Commons License Atribución 4.0 Internacional