摘要
本文从应用模糊综合评价法得到教师的课堂教学质量的评估等级和量化成绩,应用模糊聚类算法确定主关键条件属性集,使用模糊数据挖掘出评估数据库中教师课堂教学质量评估等级同评估指标之间的规则知识,以一个应用实例为对象建立的课堂教学质量模糊数据挖掘验证了该方法的可行性。
This article aims at evaluation degree of classroom teaching quality and scores by the use of fuzzy comprehensive evaluation. Here is an example that available sets are found for datamining and its applications in analysing score of quality of teaching. In this way, quantitative rules can bu mined by using the techniques of fuzzy datamining boolean association rules. Fuzzy datamining for classroom teaching quality built on the object of real college examples proves its feasibility.
出处
《计算机科学》
CSCD
北大核心
2008年第2期154-156,170,共4页
Computer Science
基金
广西教育科学"十五"规划课题(2005C080)
广西自然科学基金资助项目(桂科基0342060)
关键词
模糊综合评价法
模糊数据挖掘
教学质量
模糊聚类
Fuzzy comprehensive evaluation, Fuzzy data mining, Teaching quality, Fuzzy clustering
