## 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 |
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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 |