Handbook of logic in artificial intelligence and logic programming (vol. 3)
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Product-based possibilistic networks allow an efficient representation of possibility distributions. However, when the graph is multiply connected, the propagation may be unfeasible because of the high space complexity problem. In this paper, we propose a new inference approach on product-based possibilistic networks based on compact representations of possibility distributions, which are possibilistic knowledge bases.