Volume 29, Issue 2
DOI: 10.24205/03276716.2020.284
PREDICTION AND ANALYSIS OF PSYCHOLOGICAL HEALTH STATUS OF SENIOR HIGH SCHOOL STUDENTS BASED ON FUZZY LOGIC ALGORITHM
Abstract
The psychological problems of senior high school students should be discovered and treated as early as possible. This paper mainly predicts and analyzes the psychological health status of senior high school students based on fuzzy logic algorithm. First, a questionnaire survey was carried out among 129 students with psychological illness from 12 senior high schools in Hubei Province, China. The collected data were analyzed to identify the influencing factors of the psychological health of senior high school students. These factors, together with the test scores of Symptom Checklist-90 (SCL-90), form a sample dataset. Next, a prediction model for psychological health status of senior high school students was established based on fuzzy logic algorithm. The predicted values were compared with the measured data to identify the prediction error of our model. The results show that the psychology and physiology of senior high school students change dramatically with family stress, social stress, and school stress, and their psychological health status is alarmingly poor; each school has its unique pattern of psychological health education, failing to form a systematic education system; the proposed prediction model achieves accurate and complete evaluation of the psychological health status of senior high school students. The research results help to solve the psychological problems of senior high school students.
Keywords
Fuzzy Logic Algorithm, Senior High School Students, Psychological Health, Prediction Model.