• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail

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

View/Open
implementing_imperfect.PDF (120.2Kb)
Type
Communication / Conférence
Date
2005
Conference title
2nd International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII'05)
Conference date
2005-10
Conference city
Hammamet
Conference country
Tunisie
Pages
8
Metadata
Show full item record
Author(s)
Bahri, Afef
Chakhar, Salem
Naïja, Yosr
Bouaziz, Rafik
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.
Subjects / Keywords
Fuzzy database; fuzzy set; imperfect information; possibility distribution

Related items

Showing items related by title and author.

  • Thumbnail
    Database design and querying within the fuzzy semantic model 
    Telmoudi, Abdelkader; Ram, Sudha; Mousseau, Vincent; Chakhar, Salem; Bouaziz, Rafik (2007) Article accepté pour publication ou publié
  • Thumbnail
    Database design and querying within the fuzzy semantic model 
    Bouaziz, Rafik; Chakhar, Salem; Mousseau, Vincent; Ram, Sudha; Telmoudi, Abdelkader (2007) Article accepté pour publication ou publié
  • Thumbnail
    Membership functions definition in the fuzzy semantic model 
    Bouaziz, Rafik; Chakhar, Salem; Saad, Inès (2005) Communication / Conférence
  • Thumbnail
    Efficient Management of Schema Versioning in Multi-Temporal Databases 
    Brahmia, Zouhaier; Mkaouar, Mohamed; Chakhar, Salem; Bouaziz, Rafik (2013) Article accepté pour publication ou publié
  • Thumbnail
    Extending fuzzy semantic model by advanced decision rules 
    Ellouze, Lassaad; Bouaziz, Rafik; Chakhar, Salem (2009) Communication / Conférence
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo