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The analytical behavior of fractional-order differential equations under uncertainty is often difficult to investigate. To address this challenge, this study considers Caputo-type fuzzy fractional Volterra integro-differential equations (FFVIDEs) with boundary conditions. An iterative numerical approach based on the Adomian decomposition method (ADM) is proposed to obtain approximate fuzzy solutions. The existence and uniqueness of the solution are established using Banach's fixed point theorem. Numerical simulations are carried out in MATLAB to illustrate the symmetry between the lower and upper ρ-cut representations of the fuzzy solutions. The graphical results demonstrate the accuracy and efficiency of the proposed method in handling uncertainty in fractional systems.
K. et al. (Mon,) studied this question.