Modélisation conceptuelle d'objets géographiques imprécis et multiples : une approche basée F-Perceptory

In the real world, data is imperfect and in various ways such as imprecision, vagueness, uncertainty, ambiguity and incompleteness. For geographic data, the fuzzy aspect is mainly manifested in time, space and the function of objects and is due to a lack of precision. F-Perceptory(Zoghlami, 2013)is a recent object modeling approach for imprecise geographicdatawith UML.However,this approach does not manage fuzzy multiple geographic entities (composites) which present entities whose shape is a set of similar or different primitives geometries.In this paper, we propose to improve F-Perceptoryby the pictographic modeling of composites entities and its transformation to the UML. MOTS-CLES :Multiplicité,modélisation des données géographiques floues, UML, F-Perceptory.