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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...

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Detalles Bibliográficos
Autores principales: Li, Wentao, Zhang, Xiaoyan, Sun, Wenxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
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.
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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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