當(dāng)前，由于Internet應(yīng)用的逐漸普及，WWW已經(jīng)成為一個(gè)巨大的分布式信息空間，為用戶提供了一個(gè)極具價(jià)值的信息源。如何快速、準(zhǔn)確得到確定領(lǐng)域中的信息，使信息過濾成為Internet網(wǎng)中關(guān)注的熱點(diǎn)?；诖耍撐姆治隽诵畔⑦^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(chǔ)上推出了一種準(zhǔn)確度更好的模糊集合的信息過濾模型。
關(guān) 鍵 詞 Internet網(wǎng); 網(wǎng)絡(luò)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