50 citations · 209 across the 23 of their papers we have counts for
23 papers
Modeling uncertain and vague knowledge in possibility and evidence theories
Didier Dubois, Henri Prade
This paper advocates the usefulness of new theories of uncertainty for the purpose of modeling some facets of uncertain knowledge, especially vagueness, in AI. It can be viewed as…
Positive and Negative Explanations of Uncertain Reasoning in the Framework of Possibility Theory
Henri Farrency, Henri Prade
This paper presents an approach for developing the explanation capabilities of rule-based expert systems managing imprecise and uncertain knowledge. The treatment of uncertainty ta…
Automated Reasoning Using Possibilistic Logic: Semantics, Belief Revision and Variable Certainty Weights
Didier Dubois, Jerome Lang, Henri Prade
In this paper an approach to automated deduction under uncertainty,based on possibilistic logic, is proposed ; for that purpose we deal with clauses weighted by a degree which is a…
Updating with Belief Functions, Ordinal Conditioning Functions and Possibility Measures
Didier Dubois, Henri Prade
This paper discusses how a measure of uncertainty representing a state of knowledge can be updated when a new information, which may be pervaded with uncertainty, becomes available…
A Logic of Graded Possibility and Certainty Coping with Partial Inconsistency
Jerome Lang, Didier Dubois, Henri Prade
A semantics is given to possibilistic logic, a logic that handles weighted classical logic formulae, and where weights are interpreted as lower bounds on degrees of certainty or po…
Constraint Propagation with Imprecise Conditional Probabilities
Stephane Amarger, Didier Dubois, Henri Prade
An approach to reasoning with default rules where the proportion of exceptions, or more generally the probability of encountering an exception, can be at least roughly assessed is…