Due to the characteristics of cross, coupling and complexity in the process of earthquake disaster and secondary fire, which is usually lead to obey the Gauss distribution or approximate Gauss distribution. The traditional evaluation model and method have some limitations especially when the sample data in the study area is not accurate or lack of information. Therefore, the SS-TFN coupling model for the risk assessment of potential post-earthquake fire is established based on the stochastic simulation of Monte Carlo and Triangular Fuzzy Number theory. Firstly, the expert opinion and AHP method are used to determine the index weight measurement. Then, the risk level and risk importance of urban post-earthquake fire disaster are quantitatively described by the fuzzy semantics with 11 grades. Secondly, the confidence interval range of the comprehensive risk value in the study area is calculated. Finally, a comprehensive assessment of urban post-earthquake fire in the study area is made. The results show that the convergence of the coupled model is achieved at the 20000 time through example analysis. Therefore, the integrated risk simulation value of the secondary fire system can be obtained under confidence interval of confidence level 95%, which can provide decision support for earthquake prevention and disaster prevention planning.