Solving First-Order Nonlinear Fuzzy Initial Value Problems Using Two-Step Block Method with Presence of Higher Derivatives

Fuzzy differential equation models are suitable where uncertainty exists for real-world phenomena. Numerical techniques used to provide an approximate solution these in the absence of exact solution. However, existing studies that have developed numerical solving FIVPs possess absolute error accuracy could be improved. This is as a result low order and non-self-starting properties by previous studies. For this reason, study, develops Obrechkoff-type two-step implicit block method with presence second third derivative first-order nonlinear fuzzy initial value problems. The convergence proposed described detail. Then adopted solve problems triangular trapezoidal numbers. obtained results indicates effectively solves better accuracy.