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Accuracy based on simply* alpha open set in rough set and topological space
Real-world applications now deal with enormous amounts of data, especially in the area of high dimensional features. In the present study, we provide an approach for the rough set which is simply* alpha open set (briefly, [Formula: see text] open set). This approach was used to introduce a new conce...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273574/ https://www.ncbi.nlm.nih.gov/pubmed/34276247 http://dx.doi.org/10.1007/s00500-021-05935-7 |
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author | El Safty, M. A. El Sayed, M. Alblowi, S. A. |
author_facet | El Safty, M. A. El Sayed, M. Alblowi, S. A. |
author_sort | El Safty, M. A. |
collection | PubMed |
description | Real-world applications now deal with enormous amounts of data, especially in the area of high dimensional features. In the present study, we provide an approach for the rough set which is simply* alpha open set (briefly, [Formula: see text] open set). This approach was used to introduce a new concept of separation axioms, from which fundamental properties and theorems of preservation were studied. The relationship between basic properties and preservation theorems was also discussed. New near continuous function definitions have also been developed and their characteristics have been discussed. Through an application presented in the work, the relationship between the simply* alpha open set and near continuous function was justified. The simply* alpha open set was studied by the rough set and accordingly new accuracies were obtained. Moreover, an accurate proposal was examined, which competes with that of the methods of Yao and Pawlak. To obtain the results, MATLAB software has been used. |
format | Online Article Text |
id | pubmed-8273574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-82735742021-07-12 Accuracy based on simply* alpha open set in rough set and topological space El Safty, M. A. El Sayed, M. Alblowi, S. A. Soft comput Mathematical Methods in Data Science Real-world applications now deal with enormous amounts of data, especially in the area of high dimensional features. In the present study, we provide an approach for the rough set which is simply* alpha open set (briefly, [Formula: see text] open set). This approach was used to introduce a new concept of separation axioms, from which fundamental properties and theorems of preservation were studied. The relationship between basic properties and preservation theorems was also discussed. New near continuous function definitions have also been developed and their characteristics have been discussed. Through an application presented in the work, the relationship between the simply* alpha open set and near continuous function was justified. The simply* alpha open set was studied by the rough set and accordingly new accuracies were obtained. Moreover, an accurate proposal was examined, which competes with that of the methods of Yao and Pawlak. To obtain the results, MATLAB software has been used. Springer Berlin Heidelberg 2021-07-12 2021 /pmc/articles/PMC8273574/ /pubmed/34276247 http://dx.doi.org/10.1007/s00500-021-05935-7 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 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 | Mathematical Methods in Data Science El Safty, M. A. El Sayed, M. Alblowi, S. A. Accuracy based on simply* alpha open set in rough set and topological space |
title | Accuracy based on simply* alpha open set in rough set and topological space |
title_full | Accuracy based on simply* alpha open set in rough set and topological space |
title_fullStr | Accuracy based on simply* alpha open set in rough set and topological space |
title_full_unstemmed | Accuracy based on simply* alpha open set in rough set and topological space |
title_short | Accuracy based on simply* alpha open set in rough set and topological space |
title_sort | accuracy based on simply* alpha open set in rough set and topological space |
topic | Mathematical Methods in Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273574/ https://www.ncbi.nlm.nih.gov/pubmed/34276247 http://dx.doi.org/10.1007/s00500-021-05935-7 |
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