中文摘要：

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。

英文摘要：

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.