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Implementing imperfect information in fuzzy databases

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Date
2005
Dewey
Organisation des données
Sujet
Fuzzy database; fuzzy set; imperfect information; possibility distribution
Conference name
2nd International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII'05)
Conference date
10-2005
Conference city
Hammamet
Conference country
Tunisie
URI
https://basepub.dauphine.fr/handle/123456789/5199
Collections
  • LAMSADE : Publications
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Author
Bahri, Afef
Chakhar, Salem
Naïja, Yosr
Bouaziz, Rafik
Type
Communication / Conférence
Item number of pages
8
Abstract (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.

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