Extended TODIM method based on VIKOR for college English teaching quality evaluation with interval-valued intuitionistic fuzzy information

Abstract

In college education, English is a required course for every college student, and undergraduate colleges have certain requirements for college English proficiency. At the same time, English is directly related to its learning, so improving the quality of college English teaching (CET) is very important. Teaching quality is a key indicator for measuring the effectiveness of English teaching. Learning quality evaluation is a very complex process that involves many factors, such as evaluation indicators, evaluation methods, etc. Therefore, establishing an objective and scientific English quality evaluation system is a challenging issue. The CET quality evaluation is a MAGDM. Then, the TODIM and VIKOR was used to set up MAGDM. The interval-valued intuitionistic fuzzy sets (IVIFSs) are employed as a tool for depicting uncertain information during the CET quality evaluation. In this study, the entropy and score values are employed to establish the objective weights. Then, an integrated interval-valued intuitionistic fuzzy TODIM-VIKOR (IVIF-TODIM-VIKOR) is developed to cope with the MAGDM problem. An illustrative example for CET quality evaluation and some comparative analysis are developed to demonstrate the validity and reliability of IVIF-TODIM-VIKOR method.

Enhanced LogTODIM-TOPSIS framework for interval-valued intuitionistic fuzzy MAGDM and applications to intangible assets operational management performance evaluation of commercial sporting events

“…MCDM problems can be divided into two categories: multi-objective decision-making (MODM) problems and MADM problems [ [44] , [45] , [46] ]. Among them, the decision samples for the MODM problem are continuous, with the goal of designing the optimal solution [ [47] , [48] , [49] , [50] , [51] , [52] ]. The decision samples for MADM problems are discrete, with the aim of selecting from a limited number of alternative solutions to obtain the optimal solution Obviously, the latter is more common in practical decision-making problems [ [53] , [54] , [55] ].…”