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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… Click to show full abstract
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 $$\Psi C=G $$ΨC=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.
Keywords:
radial basis;
basis functions;
application radial;
fuzzy integral;
integral equations
Journal Title: Neural Computing and Applications
Year Published: 2018
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Journal Title: Neural Computing and Applications
Year Published: 2018
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!