
Implementing imperfect information in fuzzy databases
Bahri, Afef; Chakhar, Salem; Naïja, Yosr; Bouaziz, Rafik (2005), Implementing imperfect information in fuzzy databases, 2nd International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII'05), 2005-10, Hammamet, Tunisie
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Type
Communication / ConférenceDate
2005Conference title
2nd International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII'05)Conference date
2005-10Conference city
HammametConference country
TunisiePages
8
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Show full item recordAbstract (EN)
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.Subjects / Keywords
Fuzzy database; fuzzy set; imperfect information; possibility distributionRelated items
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