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A New Fuzzy System Based on Rectangular Pyramid
A new fuzzy system is proposed in this paper. The novelty of the proposed system is mainly in the compound of the antecedents, which is based on the proposed rectangular pyramid membership function instead of t-norm. It is proved that the system is capable of approximating any continuous function of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383317/ https://www.ncbi.nlm.nih.gov/pubmed/25874253 http://dx.doi.org/10.1155/2015/682989 |
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author | Jiang, Mingzuo Yuan, Xuehai Li, Hongxing Wang, Jiaxia |
author_facet | Jiang, Mingzuo Yuan, Xuehai Li, Hongxing Wang, Jiaxia |
author_sort | Jiang, Mingzuo |
collection | PubMed |
description | A new fuzzy system is proposed in this paper. The novelty of the proposed system is mainly in the compound of the antecedents, which is based on the proposed rectangular pyramid membership function instead of t-norm. It is proved that the system is capable of approximating any continuous function of two variables to arbitrary degree on a compact domain. Moreover, this paper provides one sufficient condition of approximating function so that the new fuzzy system can approximate any continuous function of two variables with bounded partial derivatives. Finally, simulation examples are given to show how the proposed fuzzy system can be effectively used for function approximation. |
format | Online Article Text |
id | pubmed-4383317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-43833172015-04-13 A New Fuzzy System Based on Rectangular Pyramid Jiang, Mingzuo Yuan, Xuehai Li, Hongxing Wang, Jiaxia ScientificWorldJournal Research Article A new fuzzy system is proposed in this paper. The novelty of the proposed system is mainly in the compound of the antecedents, which is based on the proposed rectangular pyramid membership function instead of t-norm. It is proved that the system is capable of approximating any continuous function of two variables to arbitrary degree on a compact domain. Moreover, this paper provides one sufficient condition of approximating function so that the new fuzzy system can approximate any continuous function of two variables with bounded partial derivatives. Finally, simulation examples are given to show how the proposed fuzzy system can be effectively used for function approximation. Hindawi Publishing Corporation 2015 2015-03-19 /pmc/articles/PMC4383317/ /pubmed/25874253 http://dx.doi.org/10.1155/2015/682989 Text en Copyright © 2015 Mingzuo Jiang 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 Jiang, Mingzuo Yuan, Xuehai Li, Hongxing Wang, Jiaxia A New Fuzzy System Based on Rectangular Pyramid |
title | A New Fuzzy System Based on Rectangular Pyramid |
title_full | A New Fuzzy System Based on Rectangular Pyramid |
title_fullStr | A New Fuzzy System Based on Rectangular Pyramid |
title_full_unstemmed | A New Fuzzy System Based on Rectangular Pyramid |
title_short | A New Fuzzy System Based on Rectangular Pyramid |
title_sort | new fuzzy system based on rectangular pyramid |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383317/ https://www.ncbi.nlm.nih.gov/pubmed/25874253 http://dx.doi.org/10.1155/2015/682989 |
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