For the difficult issue of high-dimensional metrics system effectiveness analysis (SEA) applications, based on the numerical simulation of the system, a high-dimensional performance indicators joint probability density function fitting method was presented in this paper firstly. And then, the joint probability density function was used to calculate high-dimensional numerical integration of the Monte Carlo average value method, looking forward to getting a Monte Carlo numerical method of SEA to solve effectiveness analysis of high-dimensional performance metrics. Finally in the paper, the method was verified and evaluated by an example of air intruder model (AI). The results show that the method is effective and practical, and give an effective method for the high-dimensional metrics analysis in the SEA.