ICC   25427
INSTITUTO DE INVESTIGACION EN CIENCIAS DE LA COMPUTACION
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Possibilistic logic over fuzzy events
Autor/es:
RICARDO O. RODRIGUEZ; MANUELA BUSANICHE; PENÉLOPE CORDERO
Lugar:
Toulouse
Reunión:
Workshop; ManyVal2017; 2017
Institución organizadora:
CNRS-IRIT, Toulouse, Francia.
Resumen:
{em Possibilistic logic} cite{DuPr2} is a well-known uncertainty logic to reasoning with graded beliefs on classical propositions by means of necessity and possiblity measures.These measures are defined in terms of possibility distributions. A (normalized) possibility distribution is a mapping $pi: Omega mapsto [0, 1]$, with $sup_{w in Omega} pi(w) = 1$, on the set $Omega$ of classical interpretations of a given propositional language that ranks interpretations according to its plausibility level: $pi(w) = 0$ means that $w$ is rejected, $pi(w) = 1$ means that $w$ is fully plausible, while $pi(w) < pi(w´)$ means that $w´$ is more plausible than $w$.