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دسترسی آزاد مقاله
1 - Application of iterative method for solving fuzzy Bernoulli equation under generalized H-differentiability
Sh. Sadigh BehzadiIn this paper, the Picard method is proposed to solve the Bernoulli equation with fuzzy initial condition under generalizedH-differentiability. The existence and uniqueness of the solution and convergence of the proposed method are proved in details. Finally an example چکیده کاملIn this paper, the Picard method is proposed to solve the Bernoulli equation with fuzzy initial condition under generalizedH-differentiability. The existence and uniqueness of the solution and convergence of the proposed method are proved in details. Finally an example shows the accuracy of this method. پرونده مقاله -
دسترسی آزاد مقاله
2 - Approximation of a Fuzzy Function by Using Radial Basis Functions Interpolation
Reza Firouzdor Majid AmirfakhrianIn the present paper, Radial Basis Function interpolations are applied to approximate a fuzzy function $\tilde{f}:\R\rightarrow \mathcal{F}(\R)$, on a discrete point set $X=\{x_1,x_2,\ldots,x_n\}$, by a fuzzy-valued function $\tilde{S}$. RBFs are based on linear combina چکیده کاملIn the present paper, Radial Basis Function interpolations are applied to approximate a fuzzy function $\tilde{f}:\R\rightarrow \mathcal{F}(\R)$, on a discrete point set $X=\{x_1,x_2,\ldots,x_n\}$, by a fuzzy-valued function $\tilde{S}$. RBFs are based on linear combinations of terms which include a single univariate function. Applying RBF to approximate a fuzzy function, a linear system will be obtained which by defining coefficient vector, target function will be approximated. Finally for showing the efficiency of the method we give some numerical examples. پرونده مقاله