Numerical solution of two-dimensional nonlinear fuzzy Fredholm integral equations based on Gauss quadrature rule-Reference-Cited by-同舟云学术

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Numerical solution of two-dimensional nonlinear fuzzy Fredholm integral equations based on Gauss quadrature rule

Published:2018-08-26 Issue:2 Volume:35 Page:2281-2291
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Ma Yanying¹²³,Huang Jin²,Liu Hongyan²,Wang Changqing⁴

Affiliation:

1. School of Mathematics and Physics, Anhui Jianzhu University, Hefei, Anhui, P.R. China

2. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China

3. Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, Ohio, USA

4. School of Life Science, Anhui Medical University, Hefei, Anhui, P.R. China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference24 articles.

1. Fuzzy differential equations;Kaleva;Fuzzy Sets and Systems,1987

2. Quadrature rules for integrals of fuzzynumber-valued functions;Bede;Fuzzy Sets and Systems,2004

3. The Adomian decomposition method applied to the fuzzy system of Fredholm integral equations of the second kind;Abbasbandy;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems,2006

4. Error estimation in the approximation of the solution of nonlinear fuzzy Fredholm integral equations;Bica;Information Sciences,2008

5. The numerical solution of linear fuzzy Fredholm integral equations of the second kind by using finite and divided differences methods;Parandin;Soft Computing,2010

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the numerical treatment and analysis of two-dimensional Fredholm integral equations using quasi-interpolant;Computational and Applied Mathematics;2020-03-16

2. Numerical solutions for fuzzy Fredholm integral equations of the first kind using Landweber iterative method1;Journal of Intelligent & Fuzzy Systems;2020-03-04

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