Title: Evaluation method of online education quality based on fuzzy rough set

Authors: Ying Zhou; Lei Zhang

Addresses: School of Literature and Education, Bengbu University, Bengbu 233030, China ' School of Mathematics and Physics, Bengbu University, Bengbu, 233000, China

Abstract: 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.

Keywords: fuzzy rough set; online education; quality evaluation.

DOI: 10.1504/IJCEELL.2023.132419

International Journal of Continuing Engineering Education and Life-Long Learning, 2023 Vol.33 No.4/5, pp.403 - 417

Received: 07 May 2021
Accepted: 09 Aug 2021

Published online: 19 Jul 2023 *

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