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.

When upper conditional probabilities are conditional possibility measures / Coletti, Giulianella; Petturiti, Davide; Vantaggi, Barbara. - In: FUZZY SETS AND SYSTEMS. - ISSN 0165-0114. - STAMPA. - 304:(2016), pp. 45-64. [10.1016/j.fss.2016.02.015]

When upper conditional probabilities are conditional possibility measures

VANTAGGI, Barbara
2016

Abstract

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.
2016
Conditional possibility; Conditional probability; Generalized Bayesian rule; Inference; Upper envelope; Weak logical independence
01 Pubblicazione su rivista::01a Articolo in rivista
When upper conditional probabilities are conditional possibility measures / Coletti, Giulianella; Petturiti, Davide; Vantaggi, Barbara. - In: FUZZY SETS AND SYSTEMS. - ISSN 0165-0114. - STAMPA. - 304:(2016), pp. 45-64. [10.1016/j.fss.2016.02.015]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/868049
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