Fermatean Neutrosophic Fuzzy Methodology for Teaching  Quality Analysis in University Basketball Training

Yongzhi Wang; Ruifang Li; Mingtao Guo

Authors

Yongzhi Wang Zhengzhou Institute of Industrial Application Technology, Zhengzhou, 450000, Henan, China
Ruifang Li Zhengzhou Institute of Industrial Application Technology, Zhengzhou, 450000, Henan, China
Mingtao Guo Sports Department, Shenzhen Polytechnic University, Shenzhen, 518055, Guangdong, China

Keywords:

Fermatean Neutrosophic Fuzzy; Basketball Training; Teaching Quality; Decision Making; MCDM Approach

Abstract

University basketball training plays a pivotal role in developing athletes' technical,
tactical, and physical skills. Analysis of teaching quality in this context is essential for optimizing
training methodologies, enhancing player performance, and ensuring long-term athletic success.
This paper explores a structured approach to assessing teaching quality in university basketball
training, considering factors such as coaching competence, training design, player engagement,
and psychological preparation. The integration of modern performance analysis tools, feedback
mechanisms, and facility assessments contributes to a comprehensive evaluation framework. By
adopting a multi-dimensional assessment approach, universities can refine their training
programs to create a more effective and engaging learning environment for student-athletes. We
use multi-criteria decision-making (MCDM) to analysis these different criteria and alternatives.
Two MCDM methods are used such as BWM to compute the criteria weights and the EDAS
method to rank the alternatives. These methods are used under the Fermatean Neutrosophic
Fuzzy sets to deal with uncertainty information. The sensitivity analysis is applied to show the
stability of the ranks.

DOI: 10.5281/zenodo.15122643