Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
An introduction to possibilistic and fuzzy logics
Readings in uncertain reasoning
A symbolic generalization of probability theory
A symbolic generalization of probability theory
Independence concepts in possibility theory: part I
Fuzzy Sets and Systems
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
A symbolic generalization of probability theory
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Independence concepts for convex sets of probabilities
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Plausibility measures: a user's guide
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
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A general notion of algebraic conditional plausibility measures is defined. Probability measures, ranking functions, possibility measures, and (under the appropriate definitions) sets of probability measures can all be viewed as defining algebraic conditional plausibility measures. It is shown that the technology of Bayesian networks can be applied to algebraic conditional plausibility measures.