Since the multi-radar track correlation algorithm based on transitive closure fuzzy clustering has high computational complexity, a step-by-step multi-radar track correlation algorithm based on fuzzy clustering was proposed. First, based on the Euclidean distance the track correlation was judged, and the track similar matrix was simplified through fuzzy similarity calculation. Furthermore, the calculation of the iterations was decreased. Finally, the computational demanding of the proposed algorithm was certainly reduced. The simulation results show that the proposed algorithm can determine targets' tracks accurately, saves 54% of time effectively with the high accuracy.