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dc.contributor.author
Alsinet, Teresa  
dc.contributor.author
Chesñevar, Carlos Iván  
dc.contributor.author
Godo, Lluís  
dc.contributor.author
Sandri, Sandra  
dc.contributor.author
Simari, Guillermo Ricardo  
dc.date.available
2019-05-07T16:13:30Z  
dc.date.issued
2008-08  
dc.identifier.citation
Alsinet, Teresa; Chesñevar, Carlos Iván; Godo, Lluís; Sandri, Sandra; Simari, Guillermo Ricardo; Formalizing argumentative reasoning in a possibilistic logic programming setting with fuzzy unification; Elsevier Science Inc; International Journal Of Approximate Reasoning; 48; 3; 8-2008; 711-729  
dc.identifier.issn
0888-613X  
dc.identifier.uri
http://hdl.handle.net/11336/75771  
dc.description.abstract
Possibilistic Defeasible Logic Programming (P-DeLP) is a logic programming language which combines features from argumentation theory and logic programming, incorporating the treatment of possibilistic uncertainty at the object-language level. In spite of its expressive power, an important limitation in P-DeLP is that imprecise, fuzzy information cannot be expressed in the object language. One interesting alternative for solving this limitation is the use of PGL+, a possibilistic logic over Gödel logic extended with fuzzy constants. Fuzzy constants in PGL+ allow expressing disjunctive information about the unknown value of a variable, in the sense of a magnitude, modelled as a (unary) predicate. The aim of this article is twofold: firstly, we formalize DePGL+, a possibilistic defeasible logic programming language that extends P-DeLP through the use of PGL+ in order to incorporate fuzzy constants and a fuzzy unification mechanism for them. Secondly, we propose a way to handle conflicting arguments in the context of the extended framework.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Defeasible Argumentation  
dc.subject
Fuzzy Constants  
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Fuzzy Unification  
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Possibilistic Logic  
dc.subject
Warrant Computation  
dc.subject.classification
Ciencias de la Computación  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Formalizing argumentative reasoning in a possibilistic logic programming setting with fuzzy unification  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-05-06T15:55:47Z  
dc.journal.volume
48  
dc.journal.number
3  
dc.journal.pagination
711-729  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Alsinet, Teresa. Universidad de Lleida; España  
dc.description.fil
Fil: Chesñevar, Carlos Iván. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina  
dc.description.fil
Fil: Godo, Lluís. Universitat Autònoma de Barcelona; España. Consejo Superior de Investigaciones Científicas; España  
dc.description.fil
Fil: Sandri, Sandra. Consejo Superior de Investigaciones Científicas; España. Universitat Autònoma de Barcelona; España  
dc.description.fil
Fil: Simari, Guillermo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina  
dc.journal.title
International Journal Of Approximate Reasoning  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0888613X07000977  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ijar.2007.07.004  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://cs.uns.edu.ar/~grs/Publications/2007-AlsinetChesnevarGodoSadriSimari-IJAR.pdf