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Extending fuzzy semantic model by advanced decision rules

Ellouze, Lassaad; Bouaziz, Rafik; Chakhar, Salem (2009), Extending fuzzy semantic model by advanced decision rules, Annual Meeting of the North American Fuzzy Information Processing Society, 2009. NAFIPS 2009. Proceedings, IEEE, p. 1-6. http://dx.doi.org/10.1109/NAFIPS.2009.5156433

Type
Communication / Conférence
Date
2009
Conference title
Annual Meeting of the North American Fuzzy Information Processing Society, 2009. NAFIPS 2009
Conference date
2009-06
Conference city
Cincinnati
Conference country
États-Unis
Book title
Annual Meeting of the North American Fuzzy Information Processing Society, 2009. NAFIPS 2009. Proceedings
Publisher
IEEE
ISBN
978-1-4244-4575-2
Pages
1-6
Publication identifier
Metadata
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Author(s)
Ellouze, Lassaad
Bouaziz, Rafik
Chakhar, Salem
Abstract (EN)
This paper extends FSM, a recently proposed semantic data model that supports fuzziness, imprecision and uncertainty of real-world. More precisely, the paper proposes four new concepts, decisional grouping, inhibition, multiplicity and selection, which allows enhancing the modeling of real-world applications. It integrates these concepts in FSM by the definition of new decision rules.
Subjects / Keywords
decision rule; fuzzy database; fuzzy semantic model