[1]李广水[][],田海梅[],李涛[]. 模糊评价体系中关键影响因素的挖掘[J].计算机技术与发展,2014,24(07):206-209.
　 Mining of Key Factors in Fuzzy Evaluation System[J].,2014,24(07):206-209.
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 模糊评价体系中关键影响因素的挖掘()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年07期
页码:
206-209
栏目:
应用开发研究
出版日期:
2014-07-10

文章信息/Info

Title:
 Mining of Key Factors in Fuzzy Evaluation System
文章编号:
1673-629X（2014）07-0209-04
作者:
 李广水[1][2]; 田海梅[1]; 李涛[1]
 1.金陵科技学院 信息技术学院；2.江苏省信息分析工程实验室
Author(s):
 LI Guang-shui[1] [2]，TIAN Hai-mei[1] LI Tao[1]
关键词:
 ; 大学生综合能力评价; 频繁项集; 关键影响因子; 模糊评价法
Keywords:
 ; evaluation of college student’ s comprehensive ability; frequent item sets; key factor; fuzzy evaluation method
分类号:
G645
文献标志码:
A
摘要:
 当前对学生某一方面的能力评价主要采用多层次、主客观共存的评价体系，因此模糊评价法得到广泛采用。为了有效提高测评数据的主观评判的准确性并更好地指导学生在未来的学习实践，提出了利用频繁项集挖掘出评价体系的关键影响因素及其取值范围。首先将多层次的评价体系构建成易于频繁项集挖掘的数据集，通过对某一综合评价等级下频繁出现的评价因素及其取值的挖掘，构建出关键因子序列。仿真实验验证了该方法的合理性。
Abstract:
 Presently the ability of a student evaluation mainly adopts evaluation system of multi-leveled subjectivity and objectivity. Therefore,the fuzzy evaluation method has been widely adopted. In order to improve the accuracy and better subjective evaluation data of the students in the future study and practice,propose the use of mining frequent item sets out the key influence factors of evaluation sys-tem and range. After building the multi-leveled evaluation system into the data set which could be mining out frequent item sets,the key factor sequence is constructed according to every comprehensive level. The simulation results show the rationality of this method.

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更新日期/Last Update: 2015-03-17