Fuzzy querying in intelligent information systems

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Date

2009

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Information Systems Engineering
Information Systems is an academic and professional discipline which follows data collection, utilization, storage, distribution, processing and management processes and modern technologies used in this field. Our department implements a pioneering and innovative education program that aims to raise the manpower, able to meet the changing and developing needs and expectations of our country and the world. Our courses on current information technologies especially stand out.

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Abstract

Many 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.

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Keywords

Database, Fuzziness, Fuzzy querying, Rule-based system

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4

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Source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- 8th International Conference on Flexible Query Answering Systems, FQAS 2009 -- 26 October 2009 through 28 October 2009 -- Roskilde -- 78753

Volume

5822 LNAI

Issue

Start Page

536

End Page

547

URI

https://doi.org/10.1007/978-3-642-04957-6_46
 https://hdl.handle.net/20.500.14411/3593

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Scopus