摘要
为了更好地了解大学生对学校服务的满意程度,完善管理,以某校的大学生满意度调查数据为基础,利用粗糙集理论进行数据分析,根据数据分析结果将学生满意度评测指标进行分类后进行分级处理,对分级指标各属性子集再进行约简及权重的确定来评测大学生对学校办学的各分项的满意度,最后通过汇总各分项数据得到学生对学校满意度的综合评价。通过几年的实施,此方法能很好地反映出学生对学校办学的满意程度,收到了良好的效果。
In order to better understand the college students＇ satisfaction with the services of the college, and improve the management, this paper took a college students＇ satisfaction survey data as the foundation, and used rough set theory in data analysis. First of all, according to the results of data analysis, it classified student satisfaction evaluation indicators, then re- duced and weighted the grading index of each attribute subset to determine the evaluation of college students of the university each kinds of satisfaction. Finally through the summary all kinds of data, it got the student to the university of the satisfaction degree of the comprehensive evaluation, through years of implementation, this method can well reflect the student satisfaction of college education, has received good results.
出处
《计算机应用研究》
CSCD
北大核心
2013年第10期2991-2995,共5页
Application Research of Computers
基金
江苏省2010年度青蓝工程骨干教师资助项目(苏教2010-16)
南信院2012年度院科研基金重点资助课题(YKJ12-005)
关键词
粗糙集
属性约简
学生满意度
分级指标
综合评价
rough set
attribute reduction
student satisfaction
hierarchical indicator
comprehensive evaluation
