사용자의 선호도를 반영한 확장 퍼지 정보 검색 시스템의 설계

초록

The goal of the information retrieval system is to search the documents which the user wants to obtain in 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. 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 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 users' preference.