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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...

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Detalles Bibliográficos
Autores principales: Jiang, Mingzuo, Yuan, Xuehai, Li, Hongxing, Wang, Jiaxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
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.
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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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