<p>This paper investigates the fuzzy control problem for nonlinear systems with outliers under fading channels. For interval type-2 fuzzy systems, a novel outlier-resistant dynamic event-triggered scheme is proposed, which not only reduces unnecessary triggering to conserve communication resources but also effectively mitigates the detrimental effects of outliers on system stability. First, the interval type-2 fuzzy method is employed to model the nonlinear networked system and construct a state observer with unmatched premise variables by incorporating the dynamic event-triggered scheme. Furthermore, a new input-output model is established to optimize the design of the trigger parameters, while auxiliary variable are introduced to eliminate disturbances caused by outlier-induced binary functions. Subsequently, sufficient conditions for the co-design of the observer and controller gain matrices are established based on Lyapunov stability theory. Finally, in simulation experiments conducted on a mass-spring-damper system, the presented control algorithm demonstrates its operational effectiveness and the outlier-resistant performance of the dynamic event-triggered scheme.</p>