This paper investigates the quantized fuzzy control of nonlinear DC microgrids subjected to hybrid attacks, taking into the consideration of resilient event-triggered mechanism (ETM), quantization and premise mismatching. First, the attack information is integrated into a new resilient ETM mechanism, which can save network bandwidth as well as actively exclude attack-induced dropouts. Second, a fuzzy switched system model is established, which offers a unified platform to investigate the influence of a range of contributing factors. Third, using a piecewise Lyapunov functional, criteria for mean-square exponential stability are obtained, and sufficient conditions for controller design are derived. Finally, simulation results confirm the effectiveness of the proposed methods.