Abstract

Mental health education (MHE) is an indispensable and fundamental content for schools to cultivate high-quality, high-standard, and high-quality talents, which has attracted sufficient attention and widespread attention in the educational community. Due to the impact of various factors such as society, family, and oneself, the overall psychological quality of Chinese college students is poor, their thinking is relatively childish, they cannot calmly face new problems and situations in life, and they feel vague and confused about life, ideals, and goals Confusion and other psychological barriers are becoming more and more common. If effective psychological crisis intervention is not available, it will seriously affect their learning and personality development, and is not conducive to talent growth. In recent years, Huaibei Vocational and Technical College has placed psychological quality education at the top of its list, providing good psychological quality training for college students, improving their psychological endurance, eliminating negative attitudes and psychological barriers, and promoting their mental health and sustainable development. The quality evaluation of MHE of college students is a classical multiple attribute decision making (MADM) problems. Recently, the TODIM and VIKOR method has been used to cope with MAGDM issues. The hesitant triangular fuzzy sets (HTFSs) are used as a tool for characterizing uncertain information during the quality evaluation of MHE of college students. In this manuscript, the hesitant triangular fuzzy TODIM-VIKOR (HTF-TODIM-VIKOR) method is built to solve the MADM under HTFSs. In the end, a numerical case study for quality evaluation of MHE of college students is given to validate the proposed method.

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