A Teaching Evaluation model based on Fuzzy Multiple Attribute Decision Making

Practical decision making, such as fuzzy multiple attribute decision making, involves many uncertainties with respect to all elements of the basic decision making model. Soft-computing approaches such as fuzzy inference and theories of fuzzy mathematics have been widely developed to achieve practical decision making. This paper proposes to select a representative scheme among a large set of available options by applying fuzzy extremum analysis. According to the objective function, the method standardizes an input vector through the intuitionistic fuzzy set, from which we construct the conversion relationship tables and finally calculate the optimal solution by fuzzy membership functions. The proposed method has been tested on teaching evaluation of Shaanxi Polytechnic Institute.