TOPSIS threat assessment based on the coefficient of variation

In the face of multi-target attacks, it is very important to evaluate the threat degree of unknown targets reasonably and accurately and provide data support for subsequent command decision-making. In the traditional calculation of threat degree, the weight coefficient is obtained by expert scoring. This method has strong subjectivity and is far from suitable for urban anti-terrorism operations. Therefore, this paper proposes a TOPSIS threat degree ranking method based on the coefficient of variation, which combines the variation coefficient method with the TOPSIS method, and uses the non-dimensional variable variation coefficient to obtain the weight coefficient, reducing the influence of human factors, and obtains the threat through matrix operation. The results show that the method is objective, accurate and practical.