大学生综合素质的灰色模糊聚类评价模型

Gray Fuzzy Cluster Model of Evaluating College Students' Comprehensive Quality

学生综合素质评价是高校学生管理人员承担的一项重要而复杂的工作。针对高校教育中大学生综合素质评价相对薄弱的问题,建立大学生综合素质评价指标体系,依据灰色系统理论,确定不同灰数,通过白化函数生成灰色聚类矩阵获取对象所属灰类的信息,最后结合模糊聚类方法,以聚类行向量作为原始数据构造了模糊相似矩阵,通过聚类分析得到了对象间的关联信息。数据分析表明,评价结果客观,合理地反映出学生综合素质的优劣,方法切实可行。

Evaluation on college students＇ comprehensive quality is an important and difficult work that administrative personnel of universifies is undertaken, and the quality evaluation is relatively weak in higher education. Based on the problem, evaluation index system is set up. According to gray system theory, different gray digit is given out. The gray information to which the object belongs can get from gray cluster matrix degenerated from whitened function. Finally combined with fuzzy cluster method, construct fuzzy similarity matrix using data of clustering row vectors and get the relevance information among objects. Data analysis shows that assessment result is objective and can reasonably indicate superiority or inferiority of students＇ comprehensive quality, this method is feasible and effective.