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Further Study of Multigranulation T-Fuzzy Rough Sets
The optimistic multigranulation T-fuzzy rough set model was established based on multiple granulations under T-fuzzy approximation space by Xu et al., 2012. From the reference, a natural idea is to consider pessimistic multigranulation model in T-fuzzy approximation space. So, in this paper, the mai...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156983/ https://www.ncbi.nlm.nih.gov/pubmed/25215336 http://dx.doi.org/10.1155/2014/927014 |
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author | Li, Wentao Zhang, Xiaoyan Sun, Wenxin |
author_facet | Li, Wentao Zhang, Xiaoyan Sun, Wenxin |
author_sort | Li, Wentao |
collection | PubMed |
description | The optimistic multigranulation T-fuzzy rough set model was established based on multiple granulations under T-fuzzy approximation space by Xu et al., 2012. From the reference, a natural idea is to consider pessimistic multigranulation model in T-fuzzy approximation space. So, in this paper, the main objective is to make further studies according to Xu et al., 2012. The optimistic multigranulation T-fuzzy rough set model is improved deeply by investigating some further properties. And a complete multigranulation T-fuzzy rough set model is constituted by addressing the pessimistic multigranulation T-fuzzy rough set. The full important properties of multigranulation T-fuzzy lower and upper approximation operators are also presented. Moreover, relationships between multigranulation and classical T-fuzzy rough sets have been studied carefully. From the relationships, we can find that the T-fuzzy rough set model is a special instance of the two new types of models. In order to interpret and illustrate optimistic and pessimistic multigranulation T-fuzzy rough set models, a case is considered, which is helpful for applying these theories to practical issues. |
format | Online Article Text |
id | pubmed-4156983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41569832014-09-11 Further Study of Multigranulation T-Fuzzy Rough Sets Li, Wentao Zhang, Xiaoyan Sun, Wenxin ScientificWorldJournal Research Article The optimistic multigranulation T-fuzzy rough set model was established based on multiple granulations under T-fuzzy approximation space by Xu et al., 2012. From the reference, a natural idea is to consider pessimistic multigranulation model in T-fuzzy approximation space. So, in this paper, the main objective is to make further studies according to Xu et al., 2012. The optimistic multigranulation T-fuzzy rough set model is improved deeply by investigating some further properties. And a complete multigranulation T-fuzzy rough set model is constituted by addressing the pessimistic multigranulation T-fuzzy rough set. The full important properties of multigranulation T-fuzzy lower and upper approximation operators are also presented. Moreover, relationships between multigranulation and classical T-fuzzy rough sets have been studied carefully. From the relationships, we can find that the T-fuzzy rough set model is a special instance of the two new types of models. In order to interpret and illustrate optimistic and pessimistic multigranulation T-fuzzy rough set models, a case is considered, which is helpful for applying these theories to practical issues. Hindawi Publishing Corporation 2014 2014-08-17 /pmc/articles/PMC4156983/ /pubmed/25215336 http://dx.doi.org/10.1155/2014/927014 Text en Copyright © 2014 Wentao Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Wentao Zhang, Xiaoyan Sun, Wenxin Further Study of Multigranulation T-Fuzzy Rough Sets |
title | Further Study of Multigranulation T-Fuzzy Rough Sets |
title_full | Further Study of Multigranulation T-Fuzzy Rough Sets |
title_fullStr | Further Study of Multigranulation T-Fuzzy Rough Sets |
title_full_unstemmed | Further Study of Multigranulation T-Fuzzy Rough Sets |
title_short | Further Study of Multigranulation T-Fuzzy Rough Sets |
title_sort | further study of multigranulation t-fuzzy rough sets |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156983/ https://www.ncbi.nlm.nih.gov/pubmed/25215336 http://dx.doi.org/10.1155/2014/927014 |
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