Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A method for updating that justifies minimum cross entropy
International Journal of Approximate Reasoning
An introduction to Kolmogorov complexity and its applications
An introduction to Kolmogorov complexity and its applications
The uncertain reasoner's companion: a mathematical perspective
The uncertain reasoner's companion: a mathematical perspective
Foundations of Fuzzy Systems
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
An Axiomatic Approach to Systems of Prior Distributions in Inexact Reasoning
International Conference Logic at Work on Knowledge Representation and Reasoning Under Uncertainty, Logic at Work
Possibility Theory, Probability Theory and Multiple-Valued Logics: A Clarification
Annals of Mathematics and Artificial Intelligence
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A new criterion is introduced for judging the suitability ofvarious “fuzzy logics” for practical uncertain reasoning in aprobabilistic world and the relationship of this criterion to severalestablished criteria, and its consequences for truth functional belief,are investigated.