模糊聚类算法在案例教学系统中的应用研究  

Research on the application of Fuzzy Clustering Algorithm in the case teaching system

作　　者：刘先锋[1] 李宁[1] 

机构地区：[1]湖南师范大学数学与计算机科学学院,湖南长沙410081

出　　处：《重庆教育学院学报》2011年第3期25-27,共3页Journal of Chongqing College of Education

基　　金：国家自然科学基金(10571052);湖南省高校青年骨干教师资金;湖南省教育厅科研资金资助

摘　　要：针对传统案例教学系统检索效率不高,缺乏智能性等特点,本文提出采用模糊聚类的方法对学生和案例分别进行聚类分析,使得具有相同个性特征的学生划分到一个类中,同时对案例库中的案例根据相似性程度进行聚类组织,最后通过学生综合能力的测试,对具有相同认知能力的学生推荐合适的一组案例,优化了传统的CBR系统。In view of the traditional case teaching system which has low retrieval efficiency and lacks intelligence,this paper,proposed the fuzzy clustering method to cluster and analyze the students and the cases.Thus the students with the same personality characteristics were divided in the same group;meanwhile,the cases in the databases were clustered and organized according to the degree of similarity.Finally,through testing the students＇ comprehensive ability,the students with the same cognitive ability recommended a proper group of cases.That optimized the traditional case-based reasoning（CBR） system.

关 键 词：案例推理 模糊聚类 传递闭包法 

分 类 号：G424[文化科学—课程与教学论]