A software intelligence level evaluation method based on analytic hierarchy process and principal component analysis

In order to solve the technical challenges such as the traditional software evaluation method is no longer suitable for intelligent software and cannot effectively evaluate the intelligence level of intelligent software, this paper proposes a software intelligence level evaluation model based on the principal component analysis method of tomographic analysis. The practical application of three intelligent software has effectively verified that this model can solve the problem of lack of effective verification of intelligent algorithm methods and the inability to quantitatively evaluate various unique characteristics of intelligent software, which has important guiding significance for improving the level of software intelligence.