Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Conditional possibility measures
Cybernetics and Systems
Using possibility theory in expert systems
Fuzzy Sets and Systems
Inference in Possibilistic Hypergraphs
IPMU '90 Proceedings of the 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: Uncertainty in Knowledge Bases
Axioms for probability and belief-function proagation
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Independence in possibility theory under different triangular norms
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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Possibilistic conditional independence is investigated: we propose a definition of this notion similar to the one used in probability theory. The links between independence and no-interaetivity are investigated, and properties of these relations are given. The influence of the conjunction used to define a conditional measure of possibility is also highlighted : we examine three types of conjunctions : Lukasiewiez - like T-norms, product-like T-norms and the minimum operator.