Data modeling dealing with uncertainty in fuzzy logic

This paper shows models of data description that incorporate uncertainty like models of data extension EER, IFO among others. These database modeling tools are compared with the pattern FuzzyEER proposed by us, which is an extension of the EER model in order to manage uncertainty with fuzzy logic in...

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Detalles Bibliográficos
Autores principales: Urrutia Sepúlveda, Angélica, Galindo, José, Jiménez, Leoncio, Piattini Velthuis, Mario
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
Base de Datos
Uncertainty, ``fuzzy,'' and probabilistic reasoning
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24442
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
Descripción
Sumario:This paper shows models of data description that incorporate uncertainty like models of data extension EER, IFO among others. These database modeling tools are compared with the pattern FuzzyEER proposed by us, which is an extension of the EER model in order to manage uncertainty with fuzzy logic in fuzzy databases. Finally, a table shows the components of EER tool with the representation of all the revised models.

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