A University Teachers’ Teaching Performance Evaluation Method Based on Type-II Fuzzy Sets
Citations Over TimeTop 15% of 2021 papers
Abstract
This paper proposes a university teachers’ teaching performance evaluation method based on type-II fuzzy sets (T2 FSs), which solves the problems of fuzziness, complexity and uncertainty in teaching performance evaluation. Firstly, the evaluation indicator system is constructed from the aspects of teaching attitude, teaching contents, teaching professionalism, teaching methods and teaching effects. Then, T2 FSs theory and the perceptual computing method are introduced to model subjective judgments and capture uncertainties, effectively handling higher levels of uncertainty in the evaluation process. Furthermore, the linguistic weighted average operator is applied as the computing with words engine to aggregate scores and weights of indicators, which effectively integrates the uncertain information in the input data into the final evaluation conclusion and guarantees the accuracy of the evaluation results. Finally, the effectiveness of the method of this study is evaluated by simulation experiments. The computational results demonstrate that it can capture more uncertain and complex information, and is more accurate and reliable than the type-I fuzzy sets method.
Related Papers
- → Spatiotemporal aggregate computation: a survey(2005)150 cited
- → Consistent Answers to Boolean Aggregate Queries under Aggregate Constraints(2010)5 cited
- → Examining Mechanical Properties of Recycled Aggregate Concrete(2022)3 cited
- Optimization of aggregate replacement on recycled high performance concrete(2010)
- APPLICATION AND PRODUCTION OF RECYCLED COARSE AGGREGATE(2012)