Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a method of automatically classifying b documents into a set of categories using the fuzzy association concept is proposed. Using the same word or vocabulary to describe different entities creates ambiguity, especially in the b environment where the user population is large. To solve this problem, fuzzy association is used to capture the relationships among different index terms or keywords in the documents, i.e., each pair of words has an associated value to distinguish itself from the others. Therefore, the ambiguity in word usage is avoided. Experiments using data sets collected from two b portals: Yahoo! and Open Directory Project are conducted.  compare our approach to the vector space model with the cosine coefficient. The results show that our approach yields higher accuracy compared to the vector space model.
['Choochart Haruechaiyasak', 'Mei-Ling Shyu', 'Shu-Ching Chen']
I am writing a research paper on a idea Web document classification based on fuzzy association
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