基于模糊聚類的學生獎學金評定

基于模糊聚類的學生獎學金評定

摘  要
本文采用基于模糊相似矩陣的最大樹分類法,對學生獎學金評定進行聚類分析,通過聚類圖直觀簡便地得出分類.該方法在學生獎學金評選中的應用,比傳統(tǒng)的評選方法更有效.在保證可以控制相似程度的前提下,能節(jié)省大量時間精力，適用于今后學生獎學金評定及其它等級評定的應用．
關鍵詞：模糊聚類分析；最大樹法；獎學金評定

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

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