EDAS Method for Single‐Valued Neutrosophic Number Multiattribute Group Decision‐Making and Applications to Physical Education Teaching Quality Evaluation in Colleges and Universities

Abstract

The evaluation of undergraduate teaching levels by the Ministry of Education has greatly promoted the construction of software and hardware in universities. After the evaluation, it will be a long-term task to build a long-term decision-making mechanism to guarantee the continuous improvement of teaching quality. As an important part of university education, physical education (PE) has always played an irreplaceable role in improving current students’ physical quality and cultivating their awareness of lifelong physical exercise. How to establish and improve the quality evaluation information system of PE to guarantee the quality of PE is not only related to the awareness of physical education workers about their own teaching work but also to the effective means to regulate the quality monitoring of PE. An effective PE quality evaluation system depends not only on the teaching management department but also on the evaluation of teaching by students and teachers themselves. Only in this way can PE classroom teaching quality be comprehensively and truly reflected. The evaluation of PE quality in higher education is often considered as a multiattribute group decision-making (MAGDM) problem. In this article, the EDAS model is extended to the single-valued neutrosophic sets (SVNSs) setting to deal with MAGDM and the computational steps, for all designs are listed. Finally, the PE quality evaluation is given to prove the SVNN-EDAS model and some good comparative analysis is done to demonstrate the advantages of SVNN-EDAS. It is shown that the SVNN-EDAS method emphasizes the expectation value of the SVNN average alternative. Compared with different methods mentioned, the SVNN-EDAS method is more practical and efficient because the calculation steps are simpler and easier to apply in practice.

Investigation of Industry 5.0 Hurdles and Their Mitigation Tactics in Emerging Economies by Todim Arithmetic and Geometric Aggregation Operators in Single Value Neutrosophic Environment

“…Granados [96] discussed the application of quadripartitioned single-valued neutrosophic properties to energy price influencing factors. Liu and Yang [97] explained college and university physical education teaching quality evaluation using the DAS method for single-valued neutrosophic number multi attribute group decision-making. D. Nagarajan and Kavikumar [98] explained neutrosophic hidden Markov model with singlevalue and interval values.…”

Teaching Quality Evaluation Model of University Teachers Based on Neural Network

“…Neural network theory is a kind of information processing system with the style of human brain designed by simulating the way of human nervous system processing, memory and processing information on the basis of the research results of modern neuroscience [9][10] . Neural networks have the ability to learn from data samples and automatically approximate complex and nonlinear functions that describe the rules of the data.…”

Video Analysis of Physical Education Teaching and Design of Intelligent Assistant Teaching System: Based on Motion Recognition and Optimization Algorithm

“…This issue results from the systems' focus on preset teaching methods, which ignores pupils' unique needs and dynamic advancement. Furthermore, these systems frequently aren't flexible enough to react to the complex dynamics of the learning process, which makes it difficult to make timely modifications based on input and performance from students [8]. This study suggests an intelligent-assisted physical education teaching model based on high-order complex networks to improve current technology in order to address these issues, take into account student individual characteristics, and recognise the special context of physical education [9].…”