模糊聚类分析方法在学生成绩评价中的应用

Application of fuzzy cluster analysis in student's performance evaluation

模糊聚类分析是一种应用广泛的模糊数学方法,可广泛应用于各个领域。在模糊集合理论基础上,研究了模糊聚类分析的方法及在学生成绩评价中应用。选取我校7个学院02级学生基础课成绩作为统计指标,利用最大最小法建立相似矩阵,用闭包法作出聚类分析,并作了详细分析。结果表明模糊聚类分析法对学生评价科学合理,符合实际,对掌握学生学习情况有很大帮助。

Fuzzy clustering has found extensive applications in many fields. Based on the fuzzy set theory,the thesis establishes a fuzzy clustering analysis method and designing procedures for studying students＇ management. In this fuzzy clustering,taking basic course scores of the students in Grade Two of our university ,who come from seven colleges, as the counting index. Similar matrix is obtained by utilizing the maximum-minimum law. Detailed clustering analysis results are given by Boole and Transmit closure methods. The result indicates that the proposed cluster＇s analytic approach is scientific,rational and suitable for reality,and it has a very great help in grasping student＇s situation of studying.