New Approach Single Valued Neutrosophic Sets for Teaching Quality Challenges Evaluation in College Public English Broad Impacts

Previous research on teaching quality challenges in college public English has relied on methods that accept vague or fuzzy inputs. Single-valued neutrosophic Sets (SVNSs) are used to handle uncertain or unclear expert assessments by allowing both precise and imprecise data to be analyzed together. This approach ensures that valuable information is not lost during the evaluation process. To improve decision-making in multi-criteria decision-making (MCDM) problems, this study introduces a new integrated framework that combines the EDAS method with the MEREC method for criteria weight computation under the SVNS environment. The MEREC method is applied to determine the importance of each criterion, while the EDAS method ranks the alternatives. A case study on evaluating teaching quality challenges in college public English is conducted to demonstrate the effectiveness of the proposed framework. In this study, three experts evaluated 11 criteria and 7 alternatives. Sensitivity analysis was also performed to test the stability of the rankings under different criteria weight variations. The results show that the ranking of alternatives remains stable, confirming the reliability of the proposed approach.