Design and Realization of College Students' Mental Health Evaluation System Based on Fuzzy Judgment
DOI: 10.23977/acss.2022.060411 | Downloads: 19 | Views: 622
Author(s)
Ping Zhang 1, Haigang Liang 2
Affiliation(s)
1 Hubei College of Chinese Medicine, Jingzhou, Hubei, 434020, China
2 Jingzhou University, Jingzhou, Hubei, 434020, China
Corresponding Author
Ping ZhangABSTRACT
With the enhancement of social competitiveness and efficient operation, college students are facing more and more pressures in all aspects, and incidents caused by psychological problems emerge in endlessly. Many mental health (M H) education forums and websites have appeared on the Internet. Although these forums and websites have made a certain contribution to the psychological knowledge and M H of college students, they cannot effectively manage and improve the psychology of college students. The purpose of this article is to design and implement a M H evaluation system for college students based on fuzzy judgment. This article first summarizes the basic theory of fuzzy evaluation, and then extends its core evaluation factors, combined with the current situation of contemporary college students' M H evaluation in my country, analyzes the existing problems and shortcomings, and designs college students’ psychology based on fuzzy evaluation. This paper systematically elaborates the analysis and design of the overall architecture, performance requirements and database of the college students' M H assessment system. This study uses questionnaire surveys, field surveys and other research methods. Experimental research shows that it is equivalent to the traditional college student M H evaluation system. The efficiency of the college student M H evaluation system based on fuzzy judgment is about 20% higher, which fully reflects the system designed this time.
KEYWORDS
Fuzzy Judgment, Mental Health, Evaluation System, Design and ImplementationCITE THIS PAPER
Ping Zhang, Haigang Liang, Design and Realization of College Students' Mental Health Evaluation System Based on Fuzzy Judgment. Advances in Computer, Signals and Systems (2022) Vol. 6: 86-93. DOI: http://dx.doi.org/10.23977/acss.2022.060411.
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