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This paper reviews some applications of fuzzy set theory to model flexible information retrieval systems, i.e., systems that can represent and interpret the vagueness typical of human communication and reasoning. The paper focuses on the following topics: a description of fuzzy indexing procedures defined to represent structured documents, the definition of flexible query languages which allow the expression of vague selection conditions, and some fuzzy associative retrieval mechanisms based on fuzzy pseudo-thesauri of terms and fuzzy clustering techniques.