Course Teaching Quality Evaluation Method Based on Language Information and Intuitive Fuzzy TOPSIS

A comprehensive evaluation method based on aggregated language information is proposed to address the fuzzy uncertainty of expert evaluation opinions in teaching quality evaluation. We transformed the semantic evaluation information of experts into intuitionistic fuzzy numbers with differences in hesitation and combined intuitionistic fuzzy set theory with TOPSIS method to establish a model for evaluating the quality of college course teaching. Finally, the effectiveness of the model is demonstrated through case studies. The application shows that using language information for evaluation is more in line with the expression habits of expert judges. At the same time, the application of intuitionistic fuzzy entropy and TOPSIS method makes the evaluation process a combination of subjective and objective characteristics, and the evaluation results are more reasonable.