As an effective global approximation method, fuzzy modeling has been widely used to model lumped parameter systems. However, it can’t be used to model the complex nonlinear DPS due to its inability to handle spatial dynamics. Here, a spatiotemporal fuzzy method is developed for modeling of complex nonlinear DPSs, and a spatial fuzzy model is first constructed to represent the nonlinear spatial dynamics, which ensures that the space information is inherently considered in the spatiotemporal fuzzy model. A fuzzy model is then used to represent the nonlinear temporal dynamics. These two fuzzy models are further integrated to construct a spatiotemporal fuzzy model. Additionally, it can improve the modeling robustness even in the presence of noise due to the robust ability of fuzzy modeling. Performance analyses and experimental validations show that the proposed method can model complex nonlinear DPSs and has the better modeling ability than several commonly used methods.