Implementing imperfect information in fuzzy databases

Afef Bahri, R. Bouaziz, Salem Chakhar, Y. Naija

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Information in real-world applications is often vague, imprecise and uncertain. Ignoring the inherent imperfect nature of real-world will undoubtedly introduce some deformation of human perception of real-world and may eliminate several substantial information, which may be very useful in several data-intensive applications. In database context, several fuzzy database models have been proposed. In these works, fuzziness is introduced at different levels. Common to all these proposals is the support of fuzziness at the attribute level. This paper proposes first a rich set of data types devoted to model the different kinds of imperfect information. The paper then proposes a formal approach to implement these data types. The proposed approach was implemented within a relational object database model but it is generic enough to be incorporated into other database models.
Original languageEnglish
Title of host publicationThe 2nd International Symposium on Computational Intelligence and Intelligent Informatics, Tunis-Gammarth, Tunisia, 14-16 October
PublisherThe Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Pages290-294
Publication statusPublished - 2005
EventThe 2nd International Symposium on Computational Intelligence and Intelligent Informatics - Hammamet, Tunis-Gammarth, Tunisia
Duration: 14 Oct 200516 Oct 2005

Conference

ConferenceThe 2nd International Symposium on Computational Intelligence and Intelligent Informatics
Country/TerritoryTunisia
CityTunis-Gammarth
Period14/10/0516/10/05

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