：对每一个训练点都定义点模糊度，利用其隶属函数所包含的信息量来确定模糊度，在

此基础上对传统的支持向量机算法进行了改进，提出了基于模糊支持向量机的医学图像分类

技术。-: For each training point of ambiguity points are defined using the membership function to determine the amount of information contained ambiguity, on the basis of the traditional support vector machine algorithm was proposed to improve the fuzzy support vector machine based on medical image classification techniques.