The reasoning with qualitative uncertainty measures involves comparative statements about
events in terms of their likeliness without necessarily assigning an exact numerical value to …

Belnap Dunn logic is a four-valued logic introduced to model reasoning with incomplete or
contradictory information. In this article, we show how Dempster-Shafer theory can be used …

We discuss two-layered logics formalising reasoning with paraconsistent probabilities that
combine the Łukasiewicz [0, 1]-valued logic with Baaz▵ operator and the Belnap–Dunn …

This paper is an extended version of an earlier submission to WoLLIC 2023. We discuss two-
layered logics formalising reasoning with probabilities and belief functions that combine the …

We explore presumptive reasoning in the paraconsistent case. Specifically, we provide
semantics for non-trivial reasoning with presumptive arguments with contradictory …

Abstract and generalize the notion of probability measures and belief functions to Belnap-
Dunn (BD) logic, respectively. This work aims at providing an alternative way to treat …

Dans ce document, nous introduisons les résultats de [4, 3] où nous définissons une
extension de la logique de Belnap–Dunn permettant de raisonner avec des informations …

This dissertation is devoted to the study of fuzzy modal logics that formalise (paraconsistent)
reasoning about uncertainty. The understanding of 'uncertain information (data)'here …

Résumé Les fonctions de croyance sont une généralisation des fonctions de probabilité qui
permettent de coder une incertitude sur la probabilité d'un événement en fournissant des …

We discuss two two-layered logics formalising reasoning with paraconsistent probabilities
that combine the Lukasiewicz [0, 1]-valued logic with Baaz△ operator and the Belnap–Dunn …