With the development of lost cost demand and robot technology in space, maintainable satellites are becoming a trend. Modularization is an important way to realize satellite maintainability, and module partition is the basis of modularization design. In this paper, a module partition method for satellite platform based on weighted complex networks is proposed. Firstly, the autocorrelation matrix of all components of the satellite platform is evaluated based on the interval-valued intuitionistic fuzzy set (IVIFS) to deal with the subjective uncertainty. Following this, the relationship of components is mapped into a weighted complex network, and the improved CNM community detection algorithm is used to complete the module partition of the satellite platform. Finally, the simulation of module partition of a satellite platform is carried out to verify the feasibility and effectiveness of the proposed method.