當前，由于Internet應用的逐漸普及，WWW已經成為一個巨大的分布式信息空間，為用戶提供了一個極具價值的信息源。如何快速、準確得到確定領域中的信息，使信息過濾成為Internet網中關注的熱點。基于此，該文分析了信息過濾中常用的向量空間模型、布爾邏輯模型和潛在語義索引三種信息過濾模型，以及存在的問題，在此基礎上推出了一種準確度更好的模糊集合的信息過濾模型。
關 鍵 詞 Internet網; 網絡安全; 信息過濾; 模糊集合

Abstract Nowadays, Internet is more and more widely used. WWW has been a largely distributed information space and provided a valuable information resource for users. How get the information rapidly and accurately makes information filtrating become the focus of Internet. Based on these, the paper analysis the vector space model, Boolean logic model and the latent semantic index model in common use in the information filtrating and problems in existence. And the paper presents an accurate and better information filtrating model based on the blur muster.
Key words Internet network; network security; information filtrating; blur muster