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Data modeling dealing with uncertainty in fuzzy logic

Urrutia Sepúlveda, Angélica et al · SEDICI UNLP · 2006

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Author / responsible party
Urrutia Sepúlveda, Angélica et al
Publisher
SEDICI UNLP
Year
2006
Language
English

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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. The past and the future of information systems: 1976-2006 and beyond Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Urrutia Sepúlveda, A. E. A. (2006). Data modeling dealing with uncertainty in fuzzy logic. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/24442

MLA

Urrutia Sepúlveda, Angélica et al. Data modeling dealing with uncertainty in fuzzy logic. SEDICI UNLP, 2006. http://sedici.unlp.edu.ar/handle/10915/24442.

Chicago

Urrutia Sepúlveda, Angélica et al. 2006. Data modeling dealing with uncertainty in fuzzy logic. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/24442.

Harvard

Urrutia Sepúlveda, A. E. A. 2006, Data modeling dealing with uncertainty in fuzzy logic, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/24442 [Accessed 7 Aug. 2026].

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Title
Data modeling dealing with uncertainty in fuzzy logic
Author / contributors
Urrutia Sepúlveda, Angélica et al
Publisher
SEDICI UNLP
Publication year
2006
Language
English

Subjects

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Ciencias Informáticas; Base de Datos; Uncertainty ``fuzzy '' and probabilistic reasoning
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