关键词: 最大间隔最小体积超球支持向量机，隶属度，隶属度向量

Abstract: For multi-subjects classification problem,a multi-subjects maximal-margin minimal-volume hypersphere support vector machine was proposed according to maximal-margin minimal-volume hypersphere support vector machine and fuzzy theory. The algorithm uses 1-a-r maximal-margin minimal-volume hypersphere support vector machine to train sub-classifiers, obtain membership vector of the sample that is classified according to the classifiers. At last it labels the subjects that the sample belongs to according to the membership vector. The experimental results show that the algorithm has higher performance on precision, recall and Fl.

Key words: Maximal-margin minimal-volume hypersphere support vector machine,Membership,Membership vector