摘要
文章提出一种基于粗糙集的大学生心理健康特征关联性挖掘模型,分析大学生的心理健康程度与学生的基本属性、家庭基本情况、学习情况、社交活动等方面的关联性,以及各属性变化对大学生心理健康的影响程度,生成它们之间潜在的关联规则或知识。最后,以南通大学学生为例,开展问卷调查,分析大学生心理健康的总体情况,为学校学生管理工作者做好大学生心理健康工作提供智能决策。
This article comes up with the correlation mining model for college students' psychological health characteristics based on Rough Set, analyzes the correlation between college students' psychological health level and their basic attributes, basic family conditions, learning conditions and social activities etc., studies the level of influence of attribute variation on college students' psychological health as well as generates the underlying correlation rules or knowledge. Lastly, taking students from Nantong University as an example, it makes a questionnaire survey and analyzes the overall conditions of college students' psychological health, which is expected to provide college students administrators with intelligent decision-making performing well their duties.
作者
刘峰
魏明
LIU Feng WEI Ming(President' s Office, Nantong University, Nantong 226019, China)
出处
《南通航运职业技术学院学报》
2017年第2期87-91,共5页
Journal of Nantong Vocational & Technical Shipping College
基金
中国交通教育研究会教育科学研究立项课题"基于粗糙集的大学生心理健康特征分析"(项目编号:交教研1402-62)
2013年南通大学学生工作专项研究课题"基于粗糙集的大学生心理健康特征分析"(项目编号:13xgzx14)
关键词
大学生
心理健康
特征选取
粗糙集
College students
Psychological health
Characteristic selection
Rough Set