| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4944049 | Fuzzy Sets and Systems | 2016 | 20 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Giulianella Coletti, Davide Petturiti, Barbara Vantaggi,