| 模糊聚类分析在试卷分析中的应用 |
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| 引用本文： | 王春才,闫磊.模糊聚类分析在试卷分析中的应用[J].河北工程技术职业学院学报,2013(4):24-27. |
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| 作者姓名： | 王春才 闫磊 |
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| 作者单位： | [1]长春市万易科技有限公司工程研究中心,长春130003 [2]长春理工大学计算机科学技术学院,长春130022 |
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| 基金项目： | 吉林省教育厅科研计划项目 |
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| 摘 要： | 根据学生试卷的每个题型的得分情况,运用模糊聚类分析技术对成绩进行分类。通过引入F统计量确定最佳阈值,使分类结果更加科学合理;再对每类学生进行分析,找出通过考试反映出的普遍问题。采用聚类分析可以更科学地对学生进行分类,实现系统教学,而使用模糊方法则更符合实际。
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| 关 键 词： | 模糊聚类 F统计量 试卷分析 |
The Application of Fuzzy Clustering Analysis in Examination Paper Analysis |
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| Authors: | WANG Chun-cai YAN Lei |
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| Institution: | 1. Engineering Research Center, Changchun WHY-E Science and Technology Co. ,Ltd Changchun 130003, China;2. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China) |
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| Abstract: | Using fuzzy clustering analysis tech nique the paper classifies students based on their score in examination paper. By bring in statistic F, it determines best threshold and makes the classification result more reasonable. Then it analyzes the basic problems of the examination participants who already belong to different classifications. Clustering analysis technique ensures the scientificity of classifying students. Moreover, fuzzy clustering analysis is more in line with reality. |
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| Keywords: | fuzzy clustering F statistic examination paperanalysis |
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