DocumentCode
2405424
Title
Extending fuzzy semantic model by advanced decision rules
Author
Ellouze, Lassaad ; Bouaziz, Rafik ; Chakhar, Salem
Author_Institution
MIRACL, Multimedia Inf. Syst. & Adv. Comput. Lab., FSEGS, Sfax, Tunisia
fYear
2009
fDate
14-17 June 2009
Firstpage
1
Lastpage
6
Abstract
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.
Keywords
data models; decision theory; fuzzy set theory; semantic networks; advanced decision rules; decisional grouping; fuzziness; fuzzy semantic model; semantic data model; Data models; Diseases; Fuzzy systems; Information processing; Information systems; Multimedia systems; Multiple sclerosis; Object oriented modeling; Proposals; Uncertainty; decision rule; fuzzy database; fuzzy semantic model;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
Conference_Location
Cincinnati, OH
Print_ISBN
978-1-4244-4575-2
Electronic_ISBN
978-1-4244-4577-6
Type
conf
DOI
10.1109/NAFIPS.2009.5156433
Filename
5156433
Link To Document