Design of Fuzzy Classification System Applying Expertise Based on Genetic Algorithms
Qing Fang Zhou, Jun Yang · Applied Mechanics and Materials · 2015
In this paper, a design method of applying rational expertise to the learning mechanism based on fuzzy genetic algorithm is proposed. Firstly, we introduce the accuracy and explanatory of the fuzzy classification system, and then the application of expertise to the fuzzy system, and the adjustment of the member function using genetic algorithm to obtain the final classification results. Finally, the classification results of our experiments demonstrate the effectiveness of the design method with the Irvine classification sample data, and we can obtain better accuracy and explanatory through this learning mechanism with the designed fuzzy classification system.