辽宁石油化工大学学报

辽宁石油化工大学学报 ›› 2017, Vol. 37 ›› Issue (2): 71-76.DOI: 10.3969/j.issn.1672-6952.2017.02.015

• 经济管理 • 上一篇    下一篇

基于粗糙集理论的高校学生学习能力分析研究

李干成,葛琳琳,张 威   

  1. 辽宁石油化工大学,辽宁 抚顺 113001
  • 收稿日期:2016-11-18 修回日期:2016-12-28 出版日期:2017-04-20 发布日期:2017-05-04
  • 通讯作者: 葛琳琳(1977-),女,硕士,讲师,从事学生培养与教育研究;E-mail:gelinlin@126.com
  • 作者简介:李干成(1996-),男,本科生,从事算法设计研究;E-mail:ligancheng@126.com
  • 基金资助:
    辽宁省大学生创新创业项目(201410148060);抚顺市科学技术发展资金计划项目(FSKJHT201548);辽宁省教育科学“十三五”规划项目(JG16DB254);辽宁省教育厅科学研究一般项目(W2016007)

Research on University Students' Learn Ability  Analysis Based on Rough Set Theory

Li Gancheng,Ge Linlin,Zhang Wei   

  1. Liaoning Shihua University,Fushun Liaoning 113001,China
  • Received:2016-11-18 Revised:2016-12-28 Published:2017-04-20 Online:2017-05-04

摘要:         针对目前高校对所有学生采用相同的标准进行综合评价、不考虑学生个体专项能力的差异、学生高分低能的现象,采用粗糙集理论和平均测评方法找出了学生能力的薄弱环节,并针对性地对不同学生的能力提升进行了量化。实验结果表明,基于粗糙集理论可精确地对学生的综合能力进行评价,同时可为学生有针对性地提升综合素质和能力提供理论依据。

关键词: 粗糙集,    , 平均测评方法,   ,  能力分析,   ,  综合评价,   ,  学生学习能力

Abstract:       In view of the phenomena of using the same standard comprehensive evaluation to all students in the current university, not considering the difference of individual special ability of the students, and avoiding to produce the phenomenon of high grade and low ability of the students, the rough set theory and the average evaluation method were used to find out the weak link of students' ability and to enhance students' ability of different quantization. The experiments showed that the students' comprehensive ability could be evaluated by the rough set theory, which also provided theoretical basis for the students to improve their comprehensive quality and ability.

Key words: Rough set,    , Average evaluation method,    , Ability analysis,    , Comprehensive evaluation,    , Students' learn ability

引用本文

李干成,葛琳琳,张 威. 基于粗糙集理论的高校学生学习能力分析研究[J]. 辽宁石油化工大学学报, 2017, 37(2): 71-76.

Li Gancheng,Ge Linlin,Zhang Wei. Research on University Students' Learn Ability  Analysis Based on Rough Set Theory[J]. Journal of Liaoning Petrochemical University, 2017, 37(2): 71-76.

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