Koyuncu,M.Information Systems Engineering2024-07-052024-07-0520093642049567978-364204956-91611-334910.1007/978-3-642-04957-6_462-s2.0-70549093164https://doi.org/10.1007/978-3-642-04957-6_46https://hdl.handle.net/20.500.14411/3593Many new database applications require intelligent information management to satisfy different users' query demands. One way to convert conventional database systems to intelligent information systems is to enhance them with a rule-based system. On the other hand, fuzziness becomes unavoidable for some applications and therefore both the database and rule- based systems should handle fuzziness existing in data and queries. This study explains how a fuzzy rule-based system integrated to a fuzzy spatial, temporal or multimedia database improves the query capabilities of the database system intelligently. Fuzzy query types that can be supported by the rule-based system to improve querying power are discussed. © 2009 Springer-Verlag Berlin Heidelberg.eninfo:eu-repo/semantics/closedAccessDatabaseFuzzinessFuzzy queryingRule-based systemConference Object5822 LNAI5365474