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IMPRECISE SECOND-ORDER MODEL FOR A SYSTEM OF INDEPENDENT RANDOM VARIABLES.
- Source :
-
International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems . Apr2005, Vol. 13 Issue 2, p177-193. 17p. - Publication Year :
- 2005
-
Abstract
- A new hierarchical uncertainty model for combining different evidence about a system of statistically independent random variable is studied in the paper. It is assumed that the first-order level of the model is represented by sets of lower and upper previsions (expectations) of random variables and the second-order level is represented by sets of lower and upper probabilities which can be viewed as confidence weights for interval-valued expectations of the first-order level. The model is rather general and allows us to compute probability bounds and "average" bounds for previsions of a function of random variables. A numerical example illustrates this model. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02184885
- Volume :
- 13
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems
- Publication Type :
- Academic Journal
- Accession number :
- 17057284
- Full Text :
- https://doi.org/10.1142/S0218488505003382