Cargando…
Towards a Classification of Rough Set Bireducts
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...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274732/ http://dx.doi.org/10.1007/978-3-030-50153-2_56 |
_version_ | 1783542648270749696 |
---|---|
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 | 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. |
format | Online Article Text |
id | pubmed-7274732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72747322020-06-08 Towards a Classification of Rough Set Bireducts Benítez-Caballero, M. José Medina, Jesús Ramírez-Poussa, Eloísa Information Processing and Management of Uncertainty in Knowledge-Based Systems Article 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. 2020-05-16 /pmc/articles/PMC7274732/ http://dx.doi.org/10.1007/978-3-030-50153-2_56 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 Towards a Classification of Rough Set Bireducts |
title | Towards a Classification of Rough Set Bireducts |
title_full | Towards a Classification of Rough Set Bireducts |
title_fullStr | Towards a Classification of Rough Set Bireducts |
title_full_unstemmed | Towards a Classification of Rough Set Bireducts |
title_short | Towards a Classification of Rough Set Bireducts |
title_sort | towards a classification of rough set bireducts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274732/ http://dx.doi.org/10.1007/978-3-030-50153-2_56 |
work_keys_str_mv | AT benitezcaballeromjose towardsaclassificationofroughsetbireducts AT medinajesus towardsaclassificationofroughsetbireducts AT ramirezpoussaeloisa towardsaclassificationofroughsetbireducts |