Research of multi-class algorithm based on fuzzy support vector machine
基于模糊支持向量机的多分类算法研究

An approach of binary tree fuzzy multi-class support vector machines algorithm was proposed due to the multi-classification problem and sensitivity to the noisy data of the Support Vector Machine algorithm(SVM).The algorithm introduced a K-Nearest Neighbor(KNN) fuzzy membership function according to Binary Tree Support Vector Machine algorithm(BTSVM).Depending on the different influences of respective data set on the classification results and measuring method of the KNN fuzzy membership function,it can cal...