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dc.contributor.authorBahri, Afef
dc.contributor.authorChakhar, Salem
dc.contributor.authorNaïja, Yosr
dc.contributor.authorBouaziz, Rafik
dc.date.accessioned2010-11-29T14:30:18Z
dc.date.available2010-11-29T14:30:18Z
dc.date.issued2005
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/5199
dc.language.isoenen
dc.subjectFuzzy databaseen
dc.subjectfuzzy seten
dc.subjectimperfect informationen
dc.subjectpossibility distributionen
dc.subject.ddc005.7en
dc.titleImplementing imperfect information in fuzzy databasesen
dc.typeCommunication / Conférence
dc.description.abstractenInformation 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.en
dc.identifier.citationpages8en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelOrganisation des donnéesen
dc.relation.conftitle2nd International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII'05)en
dc.relation.confdate2005-10
dc.relation.confcityHammameten
dc.relation.confcountryTunisieen


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