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Soft computing technique for a system of fuzzy Volterra integro-differential equations in a Hilbert space

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Abstract In this article, we implement a relatively new computational technique, a reproducing kernel Hilbert space method, for solving a system of fuzzy Volterra integro-differential equations in the Hilbert space… Click to show full abstract

Abstract In this article, we implement a relatively new computational technique, a reproducing kernel Hilbert space method, for solving a system of fuzzy Volterra integro-differential equations in the Hilbert space ⊕ j = 1 n ( W 2 2 [ a , b ] ⊕ W 2 2 [ a , b ] ) . Based on the concept of the reproducing kernel function combined with Gram-Schmidt orthogonalization process, we represent an exact solution in a form of Fourier series in the reproducing kernel Hilbert space ⊕ j = 1 n ( W 2 2 [ a , b ] ⊕ W 2 2 [ a , b ] ) . Accordingly, the approximate solution of the system of fuzzy Volterra integro-differential equations is obtained by the n-term intercept of the exact solution and proved to converge to the exact solution. Finally, two numerical examples are presented to illustrate the reliability, appropriateness and efficiency of the method.

Keywords: space; integro differential; system fuzzy; hilbert space; fuzzy volterra; volterra integro

Journal Title: Applied Numerical Mathematics
Year Published: 2020

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