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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.
Fuzzy Unification, Possibilistic logic, Fuzzy Constants, Programació lògica, Applied Mathematics, Warrant Computation, Possibilistic Logic, Warrant computation, Defeasible Argumentation, Defeasible argumentation, Theoretical Computer Science, Fuzzy constants, Lògica difusa, Artificial Intelligence, https://purl.org/becyt/ford/1.2, https://purl.org/becyt/ford/1, Fuzzy unification, Software
Fuzzy Unification, Possibilistic logic, Fuzzy Constants, Programació lògica, Applied Mathematics, Warrant Computation, Possibilistic Logic, Warrant computation, Defeasible Argumentation, Defeasible argumentation, Theoretical Computer Science, Fuzzy constants, Lògica difusa, Artificial Intelligence, https://purl.org/becyt/ford/1.2, https://purl.org/becyt/ford/1, Fuzzy unification, Software
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 41 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% | 
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