They differ in how they handle uncertainty. FDEs model systems where uncertainties are represented as fuzzy sets, allowing for imprecise initial conditions. The stochastic systems incorporate randomness, typically modeled using probabilistic methods, such as Brownian motion. While both approaches address uncertainty, FDEs focus on imprecision and vagueness, whereas stochastic systems emphasize probabilistic behavior.