Fuzzy set techniques in information retrieval. (English) Zbl 0949.68527

Bezdek, James C. (ed.) et al., Fuzzy sets in approximate reasoning and information systems. Dordrecht: Kluwer Academic Publishers. Handb. Fuzzy Sets Ser. 5, 469-510 (1999).
Summary: An overview of the application of fuzzy set theory to soften information retrieval systems is presented. It starts with the description of the main functionalities of an information retrieval system, then the main information retrieval models defined in the literature are reviewed and a classification of fuzzy information retrieval models is proposed. Further, the fuzzy indexing procedures based on the computation of the significance of the document’s descriptors are illustrated and the introduction of soft requirements into queries, based on both numeric and linguistic weights and soft aggregation operators is discussed. The chapter presents also the fuzzy associative retrieval models based on thesauri, pseudothesauri, and documents’ clustering and relevance feedback techniques. Finally, in the last section some evaluation issues of IRSs are introduced.
For the entire collection see [Zbl 0927.00009].


68P20 Information storage and retrieval of data
03E72 Theory of fuzzy sets, etc.