solving fuzzy integral equations of the second kind by fuzzy laplace transform method
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T he concept of fuzzy integral was initiated by Dubois and Prade [11] and then investigated by Kaleva [21], Goetschel and Voxman [20], Nanda [23] and others. In [33], the Henstock integral of fuzzy-valued functions is defined, while the fuzzy Riemann integral and its numerical in
In the present work, by applying known Bernstein polynomials and their advantageous properties, we establish an efficient iterative algorithm to approximate the numerical solution of fuzzy Fredholm integral equations of the second kind. The convergence of the proposed method is g
Laplace transform is one of the powerful tools for solving differential equations in engineering and other science subjects. Using equations, however, sometimes leads to solutions domain that are not readily invertible real by analytical means. Thus, we need numerical inversion m
In this paper the random Differential Transform Method (DTM) is used to solve a time-dependent random linear differential equation. The mean square convergence of the random DTM is proven. Approximations to the mean and standard deviation functions of the solution stochastic proc