摘要
大学生心理健康是影响大学生未来发展的最主要因素之一。由于影响大学生心理健康的因素复杂而且难以预估,导致高校在改善大学生心理健康的过程中存在盲目性。为了及时准确地帮助心理健康存在隐患的学生,首先通过向本校本科生分发调查问卷,然后利用粗糙集理论中基于信息熵的属性约简算法找出影响因子,利用粗糙集理论中基于决策树的规则提取算法提取出具有支持度、置信度高的规则集,最后利用评估规则集准确度的一般方法验证了规则集的有效性。该研究成果可以指导高校制定出具有针对性的改善大学生心理健康的政策,从而及时准确地帮助存在心理健康隐患的大学生。
College students’ mental health is one of the main factors affecting their future development. Due to the complex and difficult factors affecting college students’ mental health,there is blindness in the process of improving college students’ mental health. In order to timely and accurately help students with mental health problems,we firstly distribute questionnaires to the undergraduates,and then find out the affecting factors by using the attribute reduction algorithm based on information entropy in rough set theory and extract the rule set with high degree of support and confidence by using rule extraction algorithm based on decision tree in rough set theory. Finally we adopt the general method of accuracy evaluation rule sets to verify the effectiveness of the rule set. The research results can guide universities to formulate targeted policies to improve the mental health of college students and help to improve their mental health accurately and timely.
作者
徐怡
余浩
刘刚
倪治伟
XU Yi;YU Hao;LIU Gang;NI Zhi-wei(Key Laboratory of Intelligent Computing&Signal Processing of Ministry of Education,Anhui University,Hefei 230039,China;School of Computer Science and Technology,Anhui University,Hefei 230601,China;School of Internet,Anhui University,Hefei 230039,China)
出处
《计算机技术与发展》
2020年第5期121-124,共4页
Computer Technology and Development
基金
国家自然科学基金(61402005)
安徽省自然科学基金(1308085QF114)
安徽省高等学校省级自然科学基金(KJ2013A015)
安徽大学计算智能与信号处理教育部重点实验室课题项目资助(2014)
安徽大学国家级大学生创新创业训练计划(201810357072)。
关键词
粗糙集
信息熵
决策树
属性约简
规则提取
rough set
information entropy
decision tree
attribute reduction
rule extraction
