Document retrieval using knowledge-based fuzzy information retrieval techniques

A knowledge-based approach for fuzzy information retrieval is proposed, where interval queries and weightedinterval queries are allowed for document retrieval. In this paper, knowledge is represented by a concept matrix, where the elements The implicit relevant values between concepts are inferred by the transitive closure of the concept matrix based on fuzzy logic. The proposed method is more flexible than the ones presented in [61 and [11] due to the fact that it has the capability to deal with interval queries and weighted-interval queries. The rest of this paper is organized as follows. In Section 11, we briefly review the theory of fuzzy sets. In Section 111, the concepts of concept networks are introduced. closure of the concept matrices are presented for knowledge representation. In Section V, we present the query processing techniques for fuzzy information retrieval. The conclusions are discussed in Section in a concept matrix represent relevant values between concepts. Section IV, the concepts Of concept matrices and the transitive