摘要本文致力于对聚类分析在大学生综合评价中的应用研究。本文介绍了多种聚类方法的，例如K-均值聚类法、有序样品聚类法、系统聚类法等方法。通过对比，笔者确定了模糊聚类分析方法更时候大学生综合素质测评，并且介绍了模糊聚类的方法以及相关概念，确立模型。本文利用模糊聚类法从学生道德修养、文化素质、专业素质、自主学习、身心健康五个方面对大学生作出评价。在建模过程中，先收集数据，然后将得到的数据进行标准化处理；其次是建立模糊相似矩阵；最后对学生素质的评定进行聚类分析。大学生的个体表现方面多样复杂，而模糊聚类法能够较好的体现，且不易受主观评价的影响。本文采用基于模糊聚类分析的方法对大学生进行综合评价，总体来说是一个可行性较强的方法。54625

This article is committed to application of cluster analysis in comprehensive evaluation of college students.

This article describes the various clustering methods, such as K- means clustering, sequence sample cluster method, hierarchical clustering and other methods. By contrast, the author determined the fuzzy clustering analysis method is more time student 'comprehensive quality, and introduces the fuzzy clustering methods and concepts, establish model. In the paper, the use of fuzzy clustering method from the students’ moral training, cultural quality, professional quality, independent learning, physical and mental health five aspects evaluated.  During the modeling process, to collect data, and then was subjected to standardized; second is to establish fuzzy similar matrix; and finally to assess the quality of students in cluster analysis. Students' inpidual performance aspects of perse and complex, and fuzzy clustering method can better reflect less susceptible to subjective evaluation. In this paper, a method based on fuzzy clustering analysis, comprehensive evaluation of college students, in general, is a feasible method stronger.

毕业论文关键词：大学生评价  聚类分析  模糊聚类分析法  指标  权重

Keywords：Comprehensive Evaluation of College Students   Cluster analysis  

Fuzzy clustering analysis    Index   Weights

 目录

1.引言 4

2.大学生综合评价介绍及方法 4

3.聚类分析法 5

3.1聚类分析介绍 5

3.2聚类方法 5

4.模糊聚类模型 6

4.1模糊聚类简介 6

4.2模糊聚类概念 7

4.2.1模糊集与隶属函数 8

4.2.2模糊集运算的定义 8

4.2.3两个模糊矩阵的乘积 9

4.2.4模糊分类关系 9

4.2.5模糊矩阵的λ截矩阵及模糊等价矩阵 9

4.3模糊聚类模型 10

4.3.1计算相似矩阵R或者样品矩阵D 10

4.3.2建立模糊等价矩阵 10

5.模糊聚类分析的应用 12

5.1考察指标 12

5.2收集数据 12

5.3数据标准化 13

5.4建立模糊等价矩阵 14

6.总结 聚类分析在大学生综合评价中的应用研究:http://www.youerw.com/shuxue/lunwen_58849.html