DUBOIS , Didier

Possibilistic networks offer a qualitative approach for modeling epistemic uncertainty. Their practical implementation requires the specification of conditional possibility tables, as in the case of Bayesian networks for probabilities. The elicitation of probability tables by experts is made much easier by means of noisy logical gates that...

Possibilistic networks offer a qualitative approach for modeling epistemic uncertainty. Their practical implementation requires the specification of conditional possibility tables, as in the case of Bayesian networks for probabilities. This paper presents the possibilistic counterparts of the noisy probabilistic connectives (and, or, max, min,...

We study the problem of aggregating metadata about the validity and/or completeness, with respect to given topics, of information provided by multiple sources. For a given topic, the validity level reflects the certainty that the information stored is true. The completeness level of a source on a given topic reflects the certainty that a piece...

We investigate how metadata about the uncertainty of knowledge contained in a knowledge base can be expressed parsimoniously and used for reasoning. We propose an approach based on possibility theory, whereby a classical knowledge base plus metadata about the degree of validity and completeness of some of its portions are used to represent a...

A Bayesian Network and a Possibilistic Network are used to produce trend scenarios of social polarization in the metropolitan area of Marseille (France). Both scenarios are based on uncertain knowledge of relationships among variables and produce uncertain evaluations of future social polarization. We show that probabilistic models should not...

Social specialization of districts within a metropolitan area is a major stake for public policies. Modeling these imperfectly known dynamics makes it possible to explore development scenarios. Possibilistic networks offer a modeling approach which is well suited to dealing with an uncertain knowledge of the specialization process. Their...