Methodology for teaching quality evaluation of college volleyball training with probabilistic double hierarchy linguistic information

Author:

Huang Bogang1,Chen Fu1

Affiliation:

1. Physical College of Jiujiang University, Jiujiang, Jiangxi, China

Abstract

The physical education teaching quality evaluation is a very important part of the current physical education teaching reform in colleges and universities, and many experts and scholars have achieved fruitful results in this area, which has played a role in promoting the development of physical education teaching evaluation theory and practice. But at the same time, it should be soberly recognized that, with the deepening reform of physical education teaching in colleges and universities, the current teaching quality evaluation system can no longer meet the needs of the current education situation, and there are still many problems that need to be further studied and improved. The teaching quality decision evaluation of college volleyball training is looked as the MAGDM. Thus, a useful MAGDM process is needed to cope with it. The information entropy is used for determination of target weight. Based on the grey relational analysis (GRA) and probabilistic double hierarchy linguistic term sets (PDHLTSs), this paper constructs the PDHLTS-GRA for MAGDM issues. Finally, an example for teaching quality evaluation of college volleyball training is used to illustrate the designed method.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A multi-criteria framework for electric vehicle charging location selection using double hierarchy preferences and unknown weights;Engineering Applications of Artificial Intelligence;2024-07

2. Application and Analysis of Fuzzy Hierarchical Model in Teaching Quality Assessment of Primary Education;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

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