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This paper proposes interval-based possibilistic networks. This extension allows to compactly encode and reason with epistemic uncertainty and imprecise beliefs as well as with multiple expert knowledge. We propose a natural semantics based on compatible possibilistic networks. The paper shows finally that computing uncertainty bounds of an event can be done in interval-based networks without extra computational cost.
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