基于模糊综合评价的课堂教学质量数据挖掘

计算机科学 ›› 2008, Vol. 35 ›› Issue (2): 154-156.

基于模糊综合评价的课堂教学质量数据挖掘

洪月华

玉林师范学院数学与计算机科学系,玉林537000

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
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）.

HONG Yue-Hua （Department of Mathematics and Computer Science,Yulin Normal Urtiversity,Yulin 537000）

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

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。

关键词: 模糊综合评价法模糊数据挖掘教学质量模糊聚类

Abstract: 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. I

Key words: Fuzzy comprehensive evaluation, Fuzzy data mining, Teaching quality, Fuzzy clustering

洪月华. 基于模糊综合评价的课堂教学质量数据挖掘[J]. 计算机科学, 2008, 35(2): 154-156. https://doi.org/

HONG Yue-Hua （Department of Mathematics and Computer Science,Yulin Normal Urtiversity,Yulin 537000）. [J]. Computer Science, 2008, 35(2): 154-156. https://doi.org/

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