Title: Research on quality evaluation of teaching reform based on Cauchy function

Authors: Dakai Li; Liu Yang

Addresses: School of International Economics and Trade, Shandong University of Finance and Economics, Ji'nan, 250000, China ' Department of Economics and Management, Ji'nan Engineering Polytechnic, Ji'nan, 250200, China

Abstract: In order to improve the recall of the evaluation results and the accuracy of the feature clustering of the teaching reform data, this paper designs a teaching reform quality evaluation method based on Cauchy function. Firstly, mining the characteristics of teaching reform evaluation data, and using TOPSIS analysis method to score the evaluation indicators, establish the evaluation indicator system. Secondly, a judgment matrix is constructed for the evaluation index system, and the weight of the index is determined according to the importance of the evaluation index. Finally, taking Cauchy function as membership function, the final evaluation result is obtained through fuzzy integration. The experimental results show that with the increase of the number of experiments, the precision of the evaluation results obtained by this method is always above 95%, and the maximum clustering accuracy of the teaching reform feature data can reach 97%.

Keywords: Cauchy function; teaching reform; quality assessment; TOPSIS analysis method; index weight; membership function.

DOI: 10.1504/IJCEELL.2024.140720

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.5, pp.464 - 476

Received: 30 Aug 2022
Accepted: 04 Nov 2022
Published online: 02 Sep 2024 *

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