Teaching Quality Evaluation of Higher Education based on Intuitionistic Fuzzy Information

The quality evaluation of higher education is a complex problem. It involves many factors such as teaching quality, learning environment, student motivation, etc. This study aims to explore the relationship between higher education quality evaluation and fuzzy information. Quality assessment can be defined as “the process of assessing whether a product has achieved its intended purpose” (Bryman, 2011). Quality assessment has been widely used in different sectors such as healthcare, banking and other industries. In addition to evaluating products or services, it also includes evaluating people’s classroom teaching as a teaching method that has been adopted by Chinese universities. The quality of classroom teaching directly affects the quality of national talent cultivation. Therefore, how to scientifically evaluate the teaching quality of teachers has become a major issue for the current scientific and standardized teaching management in colleges and universities. This paper starts with the teaching quality evaluation based on intuitionistic fuzzy sets, and verifies the feasibility and scientificity of this method through an example.