Categorization with a very high missing data rate is seldom studied, especially from a non-probabilistic point of view. This paper proposes a new algorithm called default clusterin...
Semi-revision is a model of belief change that differs from revision in that a new formula is not always accepted. Later, Fuhrmann defined multiple semi-revision by replacing a n...
This paper is part of a project to match real-world descriptions of instances of objects to models of objects. We use a rich ontology to describe s and models at multiple levels of...
Abstract. Preferences and uncertainty occur in many real-life problems. The theory of possibility is one non-probabilistic way of dealing with uncertainty, which allows for easy in...
Maria Silvia Pini, Francesca Rossi, Kristen Brent ...
Abstract. Both in classical logic and in Answer Set Programming, inconsistency is characterized by non existence of a model. Whereas every formula is a theorem for inconsistent set...
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
In this paper, we investigate consonant random sets from the point of view of lattice theory. We introduce a new definition of consonancy and study its relationship with possibili...
The Transferable Belief Model is a general framework for managing imprecise and uncertain information using belief functions. In this framework, the discounting operation allows to...