Rough sets based on Galois connections

Rough 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...

Full description

Bibliographic Details
Main Authors: Madrid Nicolás, Medina Jesús, Ramírez-Poussa Eloísa
Format: Article
Language:English
Published: Sciendo 2020-06-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
Online Access:https://doi.org/10.34768/amcs-2020-0023
id doaj-6c37f54a0ce647e381cd394ded540393
record_format Article
spelling doaj-6c37f54a0ce647e381cd394ded5403932021-09-06T19:41:54ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922020-06-0130229931310.34768/amcs-2020-0023amcs-2020-0023Rough sets based on Galois connectionsMadrid Nicolás0Medina Jesús1Ramírez-Poussa Eloísa2Department of Applied Mathematics, University of Málaga, Arquitecto Francisco Peñalosa, 6, 29071, Málaga, SpainDepartment of Mathematics, University of Cádiz, Campus Río San Pedro, 11519, Puerto Real, Cádiz, SpainDepartment of Mathematics, University of Cádiz, Campus Río San Pedro, 11519, Puerto Real, Cádiz, SpainRough 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.https://doi.org/10.34768/amcs-2020-0023rough setsgalois connectionsapproximation operators
collection DOAJ
language English
format Article
sources DOAJ
author Madrid Nicolás
Medina Jesús
Ramírez-Poussa Eloísa
spellingShingle Madrid Nicolás
Medina Jesús
Ramírez-Poussa Eloísa
Rough sets based on Galois connections
International Journal of Applied Mathematics and Computer Science
rough sets
galois connections
approximation operators
author_facet Madrid Nicolás
Medina Jesús
Ramírez-Poussa Eloísa
author_sort Madrid Nicolás
title Rough sets based on Galois connections
title_short Rough sets based on Galois connections
title_full Rough sets based on Galois connections
title_fullStr Rough sets based on Galois connections
title_full_unstemmed Rough sets based on Galois connections
title_sort rough sets based on galois connections
publisher Sciendo
series International Journal of Applied Mathematics and Computer Science
issn 2083-8492
publishDate 2020-06-01
description Rough 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.
topic rough sets
galois connections
approximation operators
url https://doi.org/10.34768/amcs-2020-0023
work_keys_str_mv AT madridnicolas roughsetsbasedongaloisconnections
AT medinajesus roughsetsbasedongaloisconnections
AT ramirezpoussaeloisa roughsetsbasedongaloisconnections
_version_ 1717765130987503616