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Neural Computing and Applications
Published in: Neural Computing and Applications 10/2019

02-04-2018 | Original Article

Application of radial basis functions in solving fuzzy integral equations

Authors: Sh. S. Asari, M. Amirfakhrian, S. Chakraverty

Published in: Neural Computing and Applications | Issue 10/2019

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Abstract

In the present paper, a numerical method based on radial basis functions (RBFs) is proposed to approximate the solution of fuzzy integral equations. By applying RBF in fuzzy integral equation, a linear system \(\Psi C=G \) is obtained. Then target function would be approximated by defining coefficient vector C. Error estimation of the method has been shown which is based on exponential convergence rates of RBFs. Finally, validity of the method is illustrated by some examples.
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Metadata
Title
Application of radial basis functions in solving fuzzy integral equations
Authors
Sh. S. Asari
M. Amirfakhrian
S. Chakraverty
Publication date
02-04-2018
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 10/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-018-3459-4

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