• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.4
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• pp.299-303
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• 2000

The goal of the information retrieval system is to search the docments which the user wants to obtain in fast and effiecient way. Many information retrieval models, including boolean models, vector models and fuzzy models based on the trasitional fuzzy set theory, have been proposed to achieve these kinds of objectives. However, the previous models have a limitation on the fact that they do not consider the users' preference in the search of documents. In this paper, we proposed a new extenced 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 degree among documents, which can expliot the users' preference.