基于模糊推理的管理数据库的知识挖掘

Knowledge mining of managerial date base on fuzzy reasoning methods

通过对学生管理数据库中学生的成绩,采用模糊数学中的多重多维模糊推理方法,首先建立了学生成绩数据的模糊推理规则及相应的隶属函数,给出与其对应的多重多维模糊推理模型,在此基础上对学生管理数据库中学生成绩数据进行知识挖掘,给出了学生个人综合素质的分类。与此同时,我们对模糊推理中隶属函数的构造方法、模糊推理过程中合成算子的选择及模糊向量的处理进行了研究,得出了比较满意的结论。

This paper sets up fuzzy reasoning rules and membership functions of students' date base of management and gives a suitable fuzzy reasoning model. The students are classified by their individual synthetic quality based on above fuzzy reasoning model. Besides, this paper studies fuzzy membership functions' setting methods and selections of fuzzy composite operators. At last ,the paper obtains fairly satisfactory conclusions by elections of fuzzy composite operators.