Novel Approaches for Solving Fuzzy Fractional Partial Differential Equations

In this paper, we present a comparison of several important methods to solve fuzzy partial differential equations (PDEs). These include the reduced transform method (RDTM), Adomian decomposition (ADM), Homotopy perturbation (HPM), and analysis (HAM). A distinguishing practical feature these techniques is administered without need use discretion or restricted assumptions. Moreover, investigate (n+1)-dimensional fractional RDTM obtain solutions PDEs. The much more distinctive element that it requires no predetermined assumptions, reduces computational effort. We apply suggested set initial valued problems get approximate numerical for linear nonlinear time-fractional It demonstrated both accurate simple use. are based on gH-differentiability derivatives. Some illustrative examples given demonstrate effectiveness our proposed methods. results show powerful mathematical tools solving equations.