Name
Title | ||
|---|---|---|
Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events |
Abstract | ||
|---|---|---|
We go on with our study of a coherent conditional probability looked on as a general non-additive "uncertainty" measure phi((.)) = P(E\(.)) of the conditioning events. In particular, we proved in [6] (see also the book [5]) that phi can be interpreted as a possibility measure. In a previous paper [7] we gave a relevant characterization, showing that phi is a capacity if and only if it is a possibility. In this paper we give a characterization of phi as an (antimonotone) information measure in the sense of Kampe de Feriet and Forte. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-45231-7_12 | ADVANCES IN INTELLIGENT DATA ANALYSIS V |
Keywords | Field | DocType |
artificial intelligence,conditional probability,probability measure,uncertainty,conditioning | T-norm,Discrete mathematics,Conditional probability,Probability measure,Duality (optimization),Regular conditional probability,If and only if,Boolean algebra,Conditional mutual information,Mathematics | Conference |
Volume | ISSN | Citations |
2810 | 0302-9743 | 9 |
PageRank | References | Authors |
1.00 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giulianella Coletti | 1 | 572 | 71.49 |
| Romano Scozzafava | 2 | 367 | 48.05 |