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A new fuzzy information retrieval system based on user preference model

The goal of information retrieval system is to search the documents which user wants to obtain in a fast and efficient way. Many information retrieval models, including Boolean models, vector models, and fuzzy models based on the traditional fuzzy set theory, have been proposed to achieve these kinds of objectives. The previous models, however, have a limitation on the fact that they do not consider the user's preference in the document search process. In this paper, we proposed a new extended fuzzy information retrieval system which can handle the shortcomings of the previous ones. In the proposed model, a new similarity measure was applied in order to calculate the relevance degree among documents which can exploit the user's preference.