Article: Research on innovation and entrepreneurship education teaching method innovation of college students based on fuzzy analytic hierarchy process Journal: International Journal of Computational Systems Engineering (IJCSYSE) 2025 Vol.9 No.15 pp.1 - 9 Abstract: In the era of rapid economic development, IAE has become a vital force and energy for social and economic growth. As the driving force behind the societal development of the future, college students are the main group participating in IAE. Therefore, doing a good job in IAEE for college students is extremely important to social development. In the innovation and development of IAE teaching for college students, most of the teaching effect still adopts traditional evaluation methods, which cannot objectively measure it. Therefore, to better realise the IAE teaching methods development, IAE teaching evaluation indicators based on FAHP is constructed. On the basis of this index system, a TEEM based on RBFNN is designed. Aiming at the poor convergence of RBF model, the RBF model is optimised by the LM algorithm. The findings indicate that the convergence speed of the improved LM-RBF TEEM has been significantly improved. The accuracy rate of the evaluation reaches 98.69 %, which is 1.46 % higher than that of the RBF model. Therefore, the teaching effect assessment model based on the improved RBFNN can better evaluate the teaching effect of IAE, and realise the innovative development of IAE teaching methods. Inderscience Publishers - linking academia, business and industry through research

Title: Research on innovation and entrepreneurship education teaching method innovation of college students based on fuzzy analytic hierarchy process

Authors: Biying Zhuang

Addresses: College of Electronic Engineering, Guilin Institute of Information Technology, Guilin, 541004, China

Abstract: In the era of rapid economic development, IAE has become a vital force and energy for social and economic growth. As the driving force behind the societal development of the future, college students are the main group participating in IAE. Therefore, doing a good job in IAEE for college students is extremely important to social development. In the innovation and development of IAE teaching for college students, most of the teaching effect still adopts traditional evaluation methods, which cannot objectively measure it. Therefore, to better realise the IAE teaching methods development, IAE teaching evaluation indicators based on FAHP is constructed. On the basis of this index system, a TEEM based on RBFNN is designed. Aiming at the poor convergence of RBF model, the RBF model is optimised by the LM algorithm. The findings indicate that the convergence speed of the improved LM-RBF TEEM has been significantly improved. The accuracy rate of the evaluation reaches 98.69 %, which is 1.46 % higher than that of the RBF model. Therefore, the teaching effect assessment model based on the improved RBFNN can better evaluate the teaching effect of IAE, and realise the innovative development of IAE teaching methods.

Keywords: fuzzy analytic hierarchy process; innovation and entrepreneurship education; teaching method; RBF; LM algorithm.

DOI: 10.1504/IJCSYSE.2025.148645

International Journal of Computational Systems Engineering, 2025 Vol.9 No.15, pp.1 - 9

Received: 25 Apr 2023
Accepted: 11 Jun 2023
Published online: 17 Sep 2025 *

Title: Research on innovation and entrepreneurship education teaching method innovation of college students based on fuzzy analytic hierarchy process

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