Computational Methods for Intuitionistic Fuzzy Group Decision-Making

College English teaching quality evaluation is pivotal amid global engagement. It helps to identify instructional shortcomings, optimize curricula and teaching methods, and strengthen quality assurance. By addressing core issues, it enhances students' practical skills, aligns teaching with societal demands, and enables universities to cultivate globally competent talent, thereby advancing educational quality and international exchange. College English teaching quality evaluation can be regarded as a multi-attribute group decision-making (MAGDM) problem. To address this specific MAGDM scenario, the Interactive Multi-Criteria Decision Making (TODIM) method was selected as the core analytical tool. Given the inherent uncertainty in assessing teaching quality, intuitionistic fuzzy sets (IFSs) were adopted to represent ambiguous decision-related information throughout the evaluation process. This paper develops an intuitionistic fuzzy TODIM (IF-TODIM) approach, tailored to solve MAGDM problems within the IFS framework. To verify the effectiveness of the IF-TODIM method, a practical case study focused on college English teaching quality evaluation was designed and implemented.