Fuzzy FCA Attribute Reduction Properties in Rough Set Theory

Formal concept analysis and rough set theory are two of the most important mathematical tools for the treatment of information collected on relational systems. In particular, the idea of reducing the size of a database is widely studied in both theories separately. There are some papers that studied...

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Autores principales: Benítez-Caballero, M. José, Medina, Jesús, Ramírez-Poussa, Eloísa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338192/
http://dx.doi.org/10.1007/978-3-030-52705-1_24
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author Benítez-Caballero, M. José
Medina, Jesús
Ramírez-Poussa, Eloísa
author_facet Benítez-Caballero, M. José
Medina, Jesús
Ramírez-Poussa, Eloísa
author_sort Benítez-Caballero, M. José
collection PubMed
description Formal concept analysis and rough set theory are two of the most important mathematical tools for the treatment of information collected on relational systems. In particular, the idea of reducing the size of a database is widely studied in both theories separately. There are some papers that studied the reduction of a formal context by means of reducts from rough set. In this paper, we are focused in the reduction obtained in an information system considering the FCA reduction mechanism.
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spelling pubmed-73381922020-07-07 Fuzzy FCA Attribute Reduction Properties in Rough Set Theory Benítez-Caballero, M. José Medina, Jesús Ramírez-Poussa, Eloísa Rough Sets Article Formal concept analysis and rough set theory are two of the most important mathematical tools for the treatment of information collected on relational systems. In particular, the idea of reducing the size of a database is widely studied in both theories separately. There are some papers that studied the reduction of a formal context by means of reducts from rough set. In this paper, we are focused in the reduction obtained in an information system considering the FCA reduction mechanism. 2020-06-10 /pmc/articles/PMC7338192/ http://dx.doi.org/10.1007/978-3-030-52705-1_24 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Benítez-Caballero, M. José
Medina, Jesús
Ramírez-Poussa, Eloísa
Fuzzy FCA Attribute Reduction Properties in Rough Set Theory
title Fuzzy FCA Attribute Reduction Properties in Rough Set Theory
title_full Fuzzy FCA Attribute Reduction Properties in Rough Set Theory
title_fullStr Fuzzy FCA Attribute Reduction Properties in Rough Set Theory
title_full_unstemmed Fuzzy FCA Attribute Reduction Properties in Rough Set Theory
title_short Fuzzy FCA Attribute Reduction Properties in Rough Set Theory
title_sort fuzzy fca attribute reduction properties in rough set theory
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338192/
http://dx.doi.org/10.1007/978-3-030-52705-1_24
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