Enhancing Multiple-Attribute Decision-Making with Interval-Valued Neutrosophic Sets: Diverse Applications in Evaluating English Teaching Quality

The evaluation of college English teaching quality is a key method for systematically analyzing and providing feedback on the teaching process and outcomes. It aims to comprehensively assess the effectiveness of teaching, student learning outcomes, and the appropriateness of the course design. The evaluation typically covers aspects such as teaching methods, classroom atmosphere, student engagement, use of teaching resources, and learning achievements. By collecting data from student feedback, teaching supervision, and exam results, the evaluation helps to improve teaching strategies, enhance students' English proficiency, and ultimately achieve continuous optimization and improvement of teaching quality. The teaching quality evaluation of college English is viewed as the multiple-attribute decision-making (MADM). In this paper, some Aczel-Alsina operators are produced under interval-valued neutrosophic sets (IVNSs). Then, interval-valued neutrosophic number (IVNN) Aczel-Alsina weighted averaging (IVNNAAWA) operator is employed to cope with MADM problem. Finally, the numerical decision example for teaching quality evaluation of college English is employed to illustrate the produced method.

@article{Zhao2024,
  title     = {Enhancing Multiple-Attribute Decision-Making with Interval-Valued Neutrosophic Sets: Diverse Applications in Evaluating English Teaching Quality},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {11},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Lijuan Zhao and Shuo Du},
  doi       = {10.14569/IJACSA.2024.0151143},
  url       = {https://doi.org/10.14569/IJACSA.2024.0151143}
}