24 citations · 33 across the 3 of their papers we have counts for
3 papers
cs.AI2013★ 24 cited
On the Semantics and Automated Deduction for PLFC, a Logic of Possibilistic Uncertainty and Fuzziness
Teresa Alsinet, Lluis Godo, Sandra Sandri
Possibilistic logic is a well-known graded logic of uncertainty suitable to reason under incomplete information and partially inconsistent knowledge, which is built upon classical…
cs.AI2013★ 9 cited
A Complete Calculus for Possibilistic Logic Programming with Fuzzy Propositional Variables
Teresa Alsinet, Lluis Godo
In this paper we present a propositional logic programming language for reasoning under possibilistic uncertainty and representing vague knowledge. Formulas are represented by pair…
cs.AI2012
A Logic Programming Framework for Possibilistic Argumentation with Vague Knowledge
Carlos Chesnevar, Guillermo Simari, Teresa Alsinet +1
Defeasible argumentation frameworks have evolved to become a sound setting to formalize commonsense, qualitative reasoning from incomplete and potentially inconsistent knowledge. D…