Quantitative Assessment of College Students' Mental Health Based on AHPTOPSIS Algorithm

With the intensification of social competition, college students' mental health problems are becoming more and more prominent, and the construction of a scientific assessment system has become an urgent need. Based on the three-level screening framework of the Chinese College Students' Mental Health Screening Scale (Serious Psychological Crisis, General Psychological Problems, General Stress and Adaptation Distress), this study integrates 22 assessment dimensions, and constructs a quantitative assessment model by combining the hierarchical analysis of hierarchies (AHP) and the ideal solution method (TOPSIS). It was found that employment pressure, sleep disturbance and academic pressure were the core factors affecting college students' mental health. A TOPSIS analysis of a sample of 34 college students showed that the overall psychological health level of the group was moderate, and nearly a quarter of the students had significant psychological distress. The study suggests that the AHPTOPSIS model combined with localized scales can effectively realize the multilevel quantitative assessment of college students' mental health, and provide accurate decision support for mental health education and intervention in colleges and universities.