Evaluation system of ideological of college students based on improved grey relational algorithm

Abstract

Grey relational algorithm is a branch of grey system theory, which seeks the numerical relationship between each subsystem through the analysis of the correlation degree of each subsystem. This algorithm can provide a quantifiable measure of the development and change of a system, which is very suitable for dynamic process analysis. This paper takes the college students’ course performance indicators and extracurricular learning indicators in the second semester of the third year of the university and the second semester of the fourth year of the university as the analysis factors, improves the grey correlation algorithm and establishes the corresponding evaluation model of the ideological status of college students, and collects the indicators of 400 students’ Information for model fitting. Experimental verification shows that the average relative errors of the model are 3.78% and 3.26 respectively, which proves that the model has high accuracy and is very suitable for dynamic evaluation of college students’ ideological status.