Abstract
A prototype theory interpretation of the label semantics framework is proposed as a possible model of imprecise descriptions of real numbers. It is shown that within this framework conditioning given imprecise descriptions of a real variable naturally results in imprecise probabilities. An inference method is proposed
from data in the form of a set of imprecise descriptions,which naturally suggests an algorithm for estimating lower and upper probabilities given imprecise data values.
| Translated title of the contribution | Imprecise Probabilities from Imprecise Descriptions of Real Numbers |
|---|---|
| Original language | English |
| Title of host publication | Internation Symposium on Imprecise Probabilities: Theory and Applications, Durham, UK |
| Editors | T Augustin etal |
| Pages | 277 - 286 |
| Publication status | Published - 2009 |