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基于粗糙集理论的影响高校学生成绩因素研究

蔡兴雨 徐怡 程智炜

计算机技术与发展2016,Vol.26Issue(11):200-204,5.
计算机技术与发展2016,Vol.26Issue(11):200-204,5.DOI:10.3969/j.issn.1673-629X.2016.11.043

基于粗糙集理论的影响高校学生成绩因素研究

Research on Factors Affecting College Achievement Based on Rough Set

蔡兴雨 1徐怡 1程智炜2

作者信息

  • 1. 安徽大学 计算机科学与技术学院,安徽 合肥 230601
  • 2. 安徽大学 计算智能与信号处理教育部重点实验室,安徽 合肥 230039
  • 折叠

摘要

Abstract

Achievement is an important indicator of teaching quality and student learning. Because of many factors that affect student’ s a-chievement,teachers and students cannot clearly recognize the key factors affecting the results. Therefore,on the one hand,teachers cannot make an improvement to teaching methods to improve the quality of teaching. On the other hand,students are unable to make targeted im-provements to the learning methods to improve study performance. To help college students and teachers for analysis of key factors influ-encing academic performance accurately,a questionnaire about factors affecting college student achievement is designed. Those data are collected from the school’ s freshman to senior,then using heuristic attribute reduction algorithm based on information entropy in rough set theory to identify the key factors affecting the performance of college students,and next applying improved property values reduction algorithm based on resolution matrix in rough set theory to mine key factors affecting student achievement and college students dependen-cies between the results derived the rule set. Finally through the experiment,the validity of the rule set is verified. Research can help uni-versity teachers and students to understand the key factors that affect performance, thereby improving the way teachers teaching and students learning.

关键词

高校学生/成绩影响因素/粗糙集/规则提取/属性约简

Key words

college student/factors affecting achievement/rough set/rule extraction/attribute reduction

分类

信息技术与安全科学

引用本文复制引用

蔡兴雨,徐怡,程智炜..基于粗糙集理论的影响高校学生成绩因素研究[J].计算机技术与发展,2016,26(11):200-204,5.

基金项目

国家自然科学基金资助项目(61402005) (61402005)

安徽省自然科学基金项目(1308085QF114) (1308085QF114)

安徽省高等学校省级自然科学基金项目(KJ2013A015,KJ2011Z020) (KJ2013A015,KJ2011Z020)

安徽大学大学生科研训练计划项目(KYXL2014064) (KYXL2014064)

安徽大学计算智能与信号处理教育部重点实验室开放课题项目 ()

计算机技术与发展

OACSTPCD

1673-629X

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