计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (36): 214-216.

• 工程与应用 • 上一篇    下一篇

粗糙集理论在高校教学质量评价分析中的应用

付海艳1,2,符谋松2,张诚一2   

  1. 1.山东大学 数学与系统科学学院,济南 250100
    2.海南师范大学 计算机科学与教育技术系,海口 571158
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-12-21 发布日期:2007-12-21
  • 通讯作者: 付海艳

Application of rough set theory to instruction quality evaluation and analysis

FU Hai-yan1,2,FU Mou-song2,ZHANG Cheng-yi2   

  1. 1.School of Mathematics and System Sciences,Shandong University,Jinan 250100,China
    2.Department of Computer Science and Education Technology,Hainan Normal University,Haikou 571158,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-12-21 Published:2007-12-21
  • Contact: FU Hai-yan

摘要: 应用FCM方法对我校1999年~2005年收集的教学质量评价数据进行了聚类分析,提出了高校教学质量评价系统的数学模型,并利用粗糙集理论给出了该系统中不同评价主体的权重挖掘算法,减少了人为主观因素对评价结果的影响。应用表明,提出的方案更科学、合理,评价结果得到了学校教师们的认可。

关键词: FCM算法, 粗糙集, 教学质量评价

Abstract: Applying the method of FCM,process the clustering analysis to the data of teaching quality evaluation supported by the authors’ university in 1999~2005,presents a mathematics model of teaching quality evaluation system,and gives a method to mine the weighting using rough set theory,which decreases the affection of personal factors greatly.Applications show the scheme is more scientific and rational,and teachers are satisfied with the evaluated results.

Key words: FCM method, rough set, instruction quality evaluation