基于模糊聚类的学生奖学金评定
摘 要
本文采用基于模糊相似矩阵的最大树分类法,对学生奖学金评定进行聚类分析,通过聚类图直观简便地得出分类.该方法在学生奖学金评选中的应用,比传统的评选方法更有效.在保证可以控制相似程度的前提下,能节省大量时间精力，适用于今后学生奖学金评定及其它等级评定的应用．
关键词：模糊聚类分析；最大树法；奖学金评定
The Assess on Students’
Scholarship Based on Fuzzy Cluster Analysis
Abstract
In this paper, we assess on the students’ scholarship by using Maximum Tree Clustering Method which bases on Fuzzy Similarity Matrix. We can understand directly, conveniently the cluster from Clustering Plan. we find the fact that this method is more effective than the traditional one in assessing students’ scholarship; Under the premise that we can control surely the similarity degree, we are able to save a great deal of time and energy and apply this method in assessing the future students’ scholarship and other aspects.
Key words: Fuzzy Cluster Analysis; Maximum Tree Method; The Assess on Scholarship