Title :
EFSM - Tempo: A model to describe data fuzzy evolution
Author :
Ellouze, Lassaad ; Bouaziz, Rafik
Author_Institution :
MIRACL Lab., Univ. of Sfax, Sfax, Tunisia
Abstract :
This paper introduces the main characteristics of our fuzzy temporal semantic model. It deals with (i) the problem of temporal data modeling under EFSM (Enhanced Fuzzy Semantic Model) to ensure the history of the values of attributes and/or objects, the values of partial degrees of membership and the values of degrees of membership, (ii) the impact of data evolution on the calculation of these degrees of membership.
Keywords :
data models; fuzzy set theory; EFSM-Tempo; data evolution; data fuzzy evolution; enhanced fuzzy semantic model; fuzzy temporal semantic model; temporal data modeling; Data models; Diseases; Information systems; Lesions; Magnetic resonance imaging; Semantics; Fuzzy temporal database; Fuzzy temporal semantic model; Validity temporal facts;
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2011 International Conference of
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1195-4
DOI :
10.1109/SoCPaR.2011.6089287
