粗糙集约简算法在大学生心理诊断中的应用

Application of Rough Set Attribute Reduction in the Diagnosis of College Students’ Psychological Problems

通过对晋南地区三所高职学院学生心理健康咨询中心150份病例资料的相关典型症状进行属性提取,转化为疾病知识库,利用基于粗糙集的决策表属性约简算法,构建可识别矩阵,生成最小值简化信息表,最后总结出约简规则,与学生临床表现之间形成了相关的逻辑关系,并结合学院心理咨询师的临床实践,形成了一个完备高效的心理疾病诊断知识库,为高校大学生心理问题的诊断提供了一个行之有效的方案。

Attribute extraction was conducted on the related typical symptoms of 150 case data of student mental health counseling centers of three vocational colleges in south shanxi,into a disease knowledge base,the attribute reduction algorithm of decision table based on rough set is used,construct the recognizable matrix,generate minima to simplify the information table,summarize reduction rules,with students formed the relevant logic relationship between clinical manifestation,and combined with the clinical practice of college psychological consultants,formed a complete and efficient mental disease diagnosis knowledge base,it provides an effective scheme for the diagnosis of college students'psychological problems.