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dc.contributor.authorMadrid Labrador, Nicolás Miguel 
dc.contributor.authorMedina Moreno, Jesús 
dc.contributor.authorRamírez Poussa, Eloísa 
dc.contributor.otherMatemáticases_ES
dc.date.accessioned2020-07-27T10:04:51Z
dc.date.available2020-07-27T10:04:51Z
dc.date.issued2020-06
dc.identifier.issn1641-876X
dc.identifier.issn2083-8492 (internet)
dc.identifier.urihttp://hdl.handle.net/10498/23485
dc.description.abstractRough set theory is an important tool to extract knowledge from relational databases. The original definitions of approximation operators are based on an indiscernibility relation, which is an equivalence one. Lately. different papers have motivated the possibility of considering arbitrary relations. Nevertheless, when those are taken into account, the original definitions given by Pawlak may lose fundamental properties. This paper proposes a possible solution to the arising problems by presenting an alternative definition of approximation operators based on the closure and interior operators obtained from an isotone Galois connection. We prove that the proposed definition satisfies interesting properties and that it also improves object classification tasks.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherUNIV ZIELONA GORA PRESSes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceInt. J. Appl. Math. Comput. Sci., 2020, Vol. 30, No. 2, 299–313es_ES
dc.subjectrough setses_ES
dc.subjectGalois connectionses_ES
dc.subjectapproximation operatorses_ES
dc.titleRough sets based on Galois connectionses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.34768/amcs-2020-0023


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional