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基于模糊聚類(lèi)的學(xué)生獎(jiǎng)學(xué)金評(píng)定
基于模糊聚類(lèi)的學(xué)生獎(jiǎng)學(xué)金評(píng)定
摘 要
本文采用基于模糊相似矩陣的最大樹(shù)分類(lèi)法,對(duì)學(xué)生獎(jiǎng)學(xué)金評(píng)定進(jìn)行聚類(lèi)分析,通過(guò)聚類(lèi)圖直觀簡(jiǎn)便地得出分類(lèi).該方法在學(xué)生獎(jiǎng)學(xué)金評(píng)選中的應(yīng)用,比傳統(tǒng)的評(píng)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(shí)間精力，適用于今后學(xué)生獎(jiǎng)學(xué)金評(píng)定及其它等級(jí)評(píng)定的應(yīng)用．
關(guān)鍵詞：模糊聚類(lèi)分析；最大樹(shù)法；獎(jiǎng)學(xué)金評(píng)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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