Fuzzy prolog with default knowledge

Autores
Vaucheret, Claudio A.
Año de publicación
2004
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In omplete information is a problem in many aspe ts of a tual environments. Further- more, in many s enarios the knowledge is not represented in a risp way. It is ommon to nd fuzzy on epts or problems with some level of un ertainty. This work extends the semanti s and implementation of fuzzy prolog presented in [VGM02, GMV04℄ in order to in lude Default Knowledge apability. The new semanti allows non-uniform default assumptions and has Closed World Assumption (CWA) and Open World Assumption (OWA) as parti ular ases.
Eje: I - Workshop de Ingeniería de Software y Base de Datos
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
base de datos
SOFTWARE ENGINEERING
Fuzzy Prolog
Knowledge acquisition
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/22347

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network_name_str SEDICI (UNLP)
spelling Fuzzy prolog with default knowledgeVaucheret, Claudio A.Ciencias Informáticasbase de datosSOFTWARE ENGINEERINGFuzzy PrologKnowledge acquisitionIn omplete information is a problem in many aspe ts of a tual environments. Further- more, in many s enarios the knowledge is not represented in a risp way. It is ommon to nd fuzzy on epts or problems with some level of un ertainty. This work extends the semanti s and implementation of fuzzy prolog presented in [VGM02, GMV04℄ in order to in lude Default Knowledge apability. The new semanti allows non-uniform default assumptions and has Closed World Assumption (CWA) and Open World Assumption (OWA) as parti ular ases.Eje: I - Workshop de Ingeniería de Software y Base de DatosRed de Universidades con Carreras en Informática (RedUNCI)2004info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/22347enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:01Zoai:sedici.unlp.edu.ar:10915/22347Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:02.113SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Fuzzy prolog with default knowledge
title Fuzzy prolog with default knowledge
spellingShingle Fuzzy prolog with default knowledge
Vaucheret, Claudio A.
Ciencias Informáticas
base de datos
SOFTWARE ENGINEERING
Fuzzy Prolog
Knowledge acquisition
title_short Fuzzy prolog with default knowledge
title_full Fuzzy prolog with default knowledge
title_fullStr Fuzzy prolog with default knowledge
title_full_unstemmed Fuzzy prolog with default knowledge
title_sort Fuzzy prolog with default knowledge
dc.creator.none.fl_str_mv Vaucheret, Claudio A.
author Vaucheret, Claudio A.
author_facet Vaucheret, Claudio A.
author_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
base de datos
SOFTWARE ENGINEERING
Fuzzy Prolog
Knowledge acquisition
topic Ciencias Informáticas
base de datos
SOFTWARE ENGINEERING
Fuzzy Prolog
Knowledge acquisition
dc.description.none.fl_txt_mv In omplete information is a problem in many aspe ts of a tual environments. Further- more, in many s enarios the knowledge is not represented in a risp way. It is ommon to nd fuzzy on epts or problems with some level of un ertainty. This work extends the semanti s and implementation of fuzzy prolog presented in [VGM02, GMV04℄ in order to in lude Default Knowledge apability. The new semanti allows non-uniform default assumptions and has Closed World Assumption (CWA) and Open World Assumption (OWA) as parti ular ases.
Eje: I - Workshop de Ingeniería de Software y Base de Datos
Red de Universidades con Carreras en Informática (RedUNCI)
description In omplete information is a problem in many aspe ts of a tual environments. Further- more, in many s enarios the knowledge is not represented in a risp way. It is ommon to nd fuzzy on epts or problems with some level of un ertainty. This work extends the semanti s and implementation of fuzzy prolog presented in [VGM02, GMV04℄ in order to in lude Default Knowledge apability. The new semanti allows non-uniform default assumptions and has Closed World Assumption (CWA) and Open World Assumption (OWA) as parti ular ases.
publishDate 2004
dc.date.none.fl_str_mv 2004
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/22347
url http://sedici.unlp.edu.ar/handle/10915/22347
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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