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dc.date.accessioned 2012-11-15T13:14:15Z
dc.date.available 2012-11-15T13:14:15Z
dc.date.issued 2006-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24210
dc.description.abstract The knowledge imperfections should be considered when modeling complex problems. A solution is to develop a model that reduces the complexity and another option is to represent the imperfections: uncertainty, vagueness and incompleteness in the knowledge base. This paper proposes to extend the classical object oriented architecture in order to allow modeling of problems with intrinsic imperfections. The aim is to use the JAVA object oriented architecture to carry out this objective. In consequence, it is necessary to define the semantics for this extension of JAVA and it will be called Fuzzy JAVA. The NCR FuzzyJ library allows represent the vagueness (fuzziness) and uncertainty in class attributes. JAVA extended allows to model fuzzy inheritance. en
dc.language en es
dc.subject Languages es
dc.subject Lenguajes de Programación es
dc.subject Conocimiento es
dc.subject Uncertainty, ``fuzzy,'' and probabilistic reasoning es
dc.subject Object-oriented Programming es
dc.title Proposal of fuzzy object oriented model in extended JAVA en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34655-4 es
sedici.creator.person Pereira, Wilmer es
sedici.description.note Applications in Artificial Intelligence - Knowledge Engineering 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)