Evaluation method of online education quality based on fuzzy rough set

被引:0
|
作者
Zhou, Ying [1 ]
Zhang, Lei [2 ]
机构
[1] Bengbu Univ, Sch Literature & Educ, Bengbu 233030, Peoples R China
[2] Bengbu Univ, Sch Math & Phys, Bengbu 233000, Peoples R China
关键词
fuzzy rough set; online education; quality evaluation;
D O I
10.1504/IJCEELL.2023.132419
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In order to overcome the problems of unreasonable index weight distribution, poor quality evaluation results and low accuracy in the process of online education quality evaluation, this paper proposes a method of online education quality evaluation based on fuzzy rough set. Fuzzy rough set theory is introduced to eliminate redundant attributes of network. According to the regional characteristics of online education network, this paper constructs an evaluation index system, calculates the evaluation weight of education network, evaluates the importance of education network nodes, determines the level of education quality, and obtains the evaluation results of education quality. The experimental results show that the maximum value of evaluation index weight distribution rationality parameter can reach 29.45, and the quality evaluation result U = 90, which shows that the quality effect is excellent, and the accuracy rate reaches 90%. This method has good practicability and guidance.
引用
收藏
页码:403 / 417
页数:16
相关论文
共 50 条
  • [1] Evaluation Research of Excellent Courses Based on Rough Set and Fuzzy AHP Method in Colleges
    Li, Quan
    [J]. FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS, 2009, : 394 - 397
  • [2] Research on Fuzzy Evaluation Method of E-business Website Based on Rough Set
    Ma, Jun
    Shi, Huiling
    Zou, Fengyi
    [J]. ISCSCT 2008: INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY, VOL 1, PROCEEDINGS, 2008, : 673 - 676
  • [3] An evaluation method of online education reform effect based on fuzzy weight
    Lv, Hui
    Gao, Mingyang
    Hong, Tian
    [J]. INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING, 2024, 34 (05) : 441 - 452
  • [4] A MOOC online teaching quality evaluation method based on fuzzy algorithm
    Guo, Yang
    [J]. INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING, 2024, 34 (2-3) : 275 - 285
  • [5] Fuzzy comprehensive evaluation model based on rough set theory
    Xu, Yitian
    Wang, Laisheng
    [J]. PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, VOLS 1 AND 2, 2006, : 877 - 880
  • [6] Research on Fuzzy Comprehensive Evaluation Based on Rough Set Theory
    Li, XiangHui
    Da, KeNing
    [J]. ADVANCES IN ELECTRONIC COMMERCE, WEB APPLICATION AND COMMUNICATION, VOL 1, 2012, 148 : 29 - +
  • [7] GIS product quality evaluation based on rough set
    Hu, Sheng-Wu
    Wang, Xinzhou
    Xie, Yubo
    Tao, Benzao
    [J]. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2006, 31 (01): : 74 - 77
  • [8] Fuzzy decision based on fuzzy rough set
    Lin, Jin-Cherng
    Wu, Kuo-Chiang
    [J]. 2006 INTERNATIONAL CONFERENCE ON HYBRID INFORMATION TECHNOLOGY, VOL 1, PROCEEDINGS, 2006, : 477 - +
  • [9] Partner selection in dynamic alliance based on fuzzy integral evaluation method and rough set theory
    Meng, Guang-Lei
    Gong, Guang-Hong
    [J]. 2008 INTERNATIONAL CONFERENCE ON SMART MANUFACTURING APPLICATION, 2008, : 549 - 552
  • [10] A Software Reliability Evaluation Method Based on Rough Set
    Li, Qiuying
    Wang, Jian
    [J]. MECHANICAL ENGINEERING AND TECHNOLOGY, 2012, 125 : 357 - 365