|Título||Two formalisms of extended possibilistic logic programming with context-dependent fuzzy unification: a comparative description|
|Publication Type||Journal Article|
|Year of Publication||2002|
|Authors||Alsinet T, Godo L, Sandri S|
|Journal||Electronic Notes in Theoretical Computer Science|
Possibilistic logic is a logic of uncertainty where a certainty degree between 0 and 1 , interpreted as a lower bound of a necessity measure, is attached to each classical formula. In this paper we present a comparative description of two models extending first order possibilistic logic so as to allow for fuzzy unification. The first formalism, called PLFC, is a general extension that allows clauses with fuzzy constants and fuzzily restricted quantifiers. The second formalism is an implication-based extension defined on top of Gödel infinitely-valued logic, capable of dealing with fuzzy constants. In this paper we compare these approaches, mainly their Hornclause fragments, discussing their basic differences, specially in what regards their unification and automated deduction mechanisms.
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