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dc.date.accessioned 2012-11-20T18:27:53Z
dc.date.available 2012-11-20T18:27:53Z
dc.date.issued 2006-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24442
dc.description.abstract 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. en
dc.language en es
dc.subject Base de Datos es
dc.subject Uncertainty, ``fuzzy,'' and probabilistic reasoning es
dc.title Data modeling dealing with uncertainty in fuzzy logic en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34631-7 es
sedici.creator.person Urrutia Sepúlveda, Angélica es
sedici.creator.person Galindo, José es
sedici.creator.person Jiménez, Leoncio es
sedici.creator.person Piattini Velthuis, Mario es
sedici.description.note The past and the future of information systems: 1976-2006 and beyond es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)