Implementation of Mail Filtering Based on Multi-attribute Group Decision Making
The judgment of spam usually has some uncertainties, so it is easy to be misjudged, which lead to great loss. Aiming at the situation of misjudgment to mail filter presently, a method of spam filtering based on multi-attribute group decision making is presented in this paper. This kind of mail filtering is considered as processing of uncertain information. A reasonable comprehensive evaluation value is computed as a membership degree by integrating ordered weighted averaging (OWA) operator and combination weighted averaging (CWAA) operator. Fuzzy support vector machines (FSVM) classification algorithm is used to classify mails. The experiments show that this method of mail filtering improves the Recall and Precision of spam filtering to some extent.
Zhaoyang Qu Bing Ge
School of Information Engineering, Northeast Dianli University
国际会议
2008 International Conference on Audio,Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
834-838
2008-07-07(万方平台首次上网日期,不代表论文的发表时间)