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When upper conditional probabilities are conditional possibility measures
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DOI：10.1016/j.fss.2016.02.015.png)
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Abstract
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Conditioning for (non-additive) uncertainty measures is still an open problem. This is essentially due to the fact that these measures can be viewed either as lower or upper probabilities or axiomatically defined, independently of probability theory. Focusing on possibility measures on finite domains, the aim is to generalize to the conditional case the interpretation of possibility measures as upper envelopes of extensions of suitable probability measures. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Generalized Bayesian rule
Conditional possibility
Conditional probability
Inference
Upper envelope
Weak logical independence
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