1. Teaching performance evaluation by means of a hierarchical multifactorial evaluation model based on type-2 fuzzy sets
- Author
-
Kaibiao Sun, Lintao Zhou, and Hongxing Li
- Subjects
0209 industrial biotechnology ,Mathematical optimization ,business.industry ,Computer science ,Process (engineering) ,Fuzzy set ,Analytic hierarchy process ,02 engineering and technology ,Type (model theory) ,Defuzzification ,020901 industrial engineering & automation ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,Fuzzy number ,020201 artificial intelligence & image processing ,Point (geometry) ,Artificial intelligence ,business - Abstract
Teaching performance evaluation plays an important role in the management of education institutions. In this process, the relevant factors may be complicated and various, it is difficult to dealt with the factors once for all, and a decomposed smaller part sometimes could be easily handled. Based on this consideration, a hierarchical multifactorial evaluation model based on type-2 fuzzy sets is formulated and applied to evaluate teaching performance. In the constructed model, in order to obtain a more rational evaluation result, the factor weights are replaced by triangular fuzzy numbers, and the defuzzification results are represented by the triangular incentre points. To estimate the factor and sub-factor weights in the multifactorial evaluation, a new method of fuzzy analytic hierarchy process (AHP) based on triangular incentre point is developed, and the effectiveness of the hierarchical multifactorial evaluation model is verified with an specific instance.
- Published
- 2016