2012
DOI: 10.1155/2012/407647
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Series Solution of the System of Fuzzy Differential Equations

Abstract: The homotopy analysis method (HAM) is proposed to obtain a semianalytical solution of the system of fuzzy differential equations (SFDE). The HAM contains the auxiliary parameterħ, which provides us with a simple way to adjust and control the convergence region of solution series. Concept ofħ-meshes and contour plots firstly are introduced in this paper which are the generations of traditionalh-curves. Convergency of this method for the SFDE has been considered and some examples are given to illustrate the effi… Show more

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Cited by 17 publications
(18 citation statements)
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“…Here, is considered as a small homotopy parameter 0 ≤ ≤ 1. For = 0, (19) and (20) become a linear equation; that is, 2 V( ; , )/ 2 = 0, which is easy to solve. For = 1, (19) and (20) turn out to be same as the original equation (16).…”
Section: Proposed Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Here, is considered as a small homotopy parameter 0 ≤ ≤ 1. For = 0, (19) and (20) become a linear equation; that is, 2 V( ; , )/ 2 = 0, which is easy to solve. For = 1, (19) and (20) turn out to be same as the original equation (16).…”
Section: Proposed Methodsmentioning
confidence: 99%
“…Similarly, many authors studied various other methods to solve th order fuzzy differential equations in [17][18][19][20][21]. Based on the idea of collocation method, Allahviranloo et al [17] investigated the numerical solution of th order fuzzy differential equations.…”
Section: Introductionmentioning
confidence: 99%
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“…In [3], the authors prove the existence and uniqueness of the solution of the FDEs with the right-hand side satisfying the Lipschitz condition by the concept of Hukuhara derivative. For more examples one can refer to the significant results in [4][5][6][7][8][9][10][11][12][13][14][15][16]. Therefore, the construction of a theory that combines appropriately the theory of impulsive differential equations with that of FDEs is essential.…”
Section: Introductionmentioning
confidence: 99%
“…Numerical solution of SFDE is developed by Fard [27]. The geometric approach is developed by Gasilova et al in [28] and series solution is developed by Hashemi et al [29]. There are other meny approaches to solve this SFDE (see [30][31][32]).…”
mentioning
confidence: 99%