2020
DOI: 10.3390/fractalfract4010009
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Homotopy Analysis Method to Solve Two-Dimensional Nonlinear Volterra-Fredholm Fuzzy Integral Equations

Abstract: The main goal of the paper is to present an approximate method for solving of a two-dimensional nonlinear Volterra-Fredholm fuzzy integral equation (2D-NVFFIE). It is applied the homotopy analysis method (HAM). The studied equation is converted to a nonlinear system of Volterra-Fredholm integral equations in a crisp case. Approximate solutions of this system are obtained by the help with HAM and hence an approximation for the fuzzy solution of the nonlinear Volterra-Fredholm fuzzy integral equation is presente… Show more

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Cited by 19 publications
(9 citation statements)
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“…exact solution, approximate solution, and absolute errors for bivariate type II fuzzy fredholm integral equations using homotopy perturbation method. Comparison between APxSn ∪ APxSn [10] (s, t, r), ∪ APxSn [10] (s, t, r) and exact solution ∪(ω 1 , ω 2 , r), ∪(ω 1 , ω 2 , r) used by HPM by metric D(∪, ∪) using the Definition 2.3 for Examples 6.1, where maxD ∪ APxSn [10] (s, t, r), ∪(ω 1 , ω 2 , r) = 3.7 × 10 -11 , and maxD ∪ APxSn [10] (s, t, r), ∪(ω 1 , ω 2 , r) = 1.0 × 10 -10 .…”
Section: Discussionmentioning
confidence: 99%
“…exact solution, approximate solution, and absolute errors for bivariate type II fuzzy fredholm integral equations using homotopy perturbation method. Comparison between APxSn ∪ APxSn [10] (s, t, r), ∪ APxSn [10] (s, t, r) and exact solution ∪(ω 1 , ω 2 , r), ∪(ω 1 , ω 2 , r) used by HPM by metric D(∪, ∪) using the Definition 2.3 for Examples 6.1, where maxD ∪ APxSn [10] (s, t, r), ∪(ω 1 , ω 2 , r) = 3.7 × 10 -11 , and maxD ∪ APxSn [10] (s, t, r), ∪(ω 1 , ω 2 , r) = 1.0 × 10 -10 .…”
Section: Discussionmentioning
confidence: 99%
“…It is frequently difficult to discover analytic solutions to these problems. Several mathematicians have investigated the numerical solutions to fuzzy equations in recent years [11], [12], [13], [14], [15], [16].…”
Section: Al-abrahemeementioning
confidence: 99%
“…We shall have a look at the following integral equation to explain the fundamental concepts of the HAM. [24]:…”
Section: Basic Idea Of Hammentioning
confidence: 99%