关键词: 垃圾邮件过滤, 模糊支持向量机, 隶属度, 双隶属度模糊支持向量机

Abstract: Based on fuzzy of information contained in mail and asymmetry of legitimate mails and spam at the misjudgment price，a mail filtering method is proposed.It makes use of dual membership fuzzy support vector machine.According to provide a different pair of membership for each sample，the optimal classifier is derived.It improves the accuracy of mail filtering.The simulation results show that the method is able to effectively reduce the misjudgment of legitimate messages as spam.In additional，it has a high accuracy and so on.

Key words: spam filtering, fuzzy support vector machine, membership, dual membership fuzzy support vector machine