Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A probabilistic and statistical view of fuzzy methods
Technometrics
Measures of uncertainty in expert systems
Artificial Intelligence
Bayesian conditioning in possibility theory
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Fuzzy Sets and Systems
Introduction to Bayesian Networks
Introduction to Bayesian Networks
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We give a definition of human uncertainty through subjective likelihood estimates. The subject is asked for his estimated likelihood of different statements, given a present piece of observation. With this interpretation of human uncertainty, we are able to perform consistent inference about our target variables, by formally treating the input as likelihood factors. By focusing on likelihood estimates given the present observation only, we eliminate the problem of handling the subject's overall judgement. The algorithm has been successfully implemented in an expert system for classification of wildwood mushrooms.