Performance Analysis of Universities Based on Combination Weighting Method and Grey Correlation Analysis

Abstract

The performance evaluation of universities is of great significance for improving their educational level and allocating funding resources. This article constructs a performance evaluation model for universities based on the combination weighting method and grey correlation analysis. The model first uses principal component analysis and average mutual information method to select indicator features and select indicators with high importance; On this basis, the grey correlation analysis method is used to obtain the relationship between input indicators and output indicators; Finally, develop a visual performance analysis platform for universities using Python language and validate it with examples to conduct research. The research results indicate that the model and platform can effectively and intuitively display evaluation results, and can assist education management departments in identifying shortcomings and formulating targeted improvement strategies based on evaluation results.