A New Method for Fuzzy Information Retrieval Based on Document Terms Reweighting Techniques

Abstract

In this paper, we propose a new method for fuzzy information retrieval based on terms reweighting techniques to modify the weights of terms in document descriptor vectors based on the user’s relevance feedback. After modifying the weights of terms in document descriptor vectors, the degrees of satisfaction of relevant documents with respect to the user’s query will increase, and the degrees of satisfaction of irrelevant documents with respect to the user’s query will decrease. The modified document descriptor vectors then can be used as personal profiles for future query processing. The proposed method can make fuzzy information retrieval systems more flexible and more intelligent to deal with documents retrieval. It can increase the retrieval effectiveness of the fuzzy information retrieval systems for document retrieval.