We introduce a new property, pruning, for measures of uncertainty and investigate its consequences. In particular, we derive a new characterization of the additive, subadditive and symmetric entropies without assuming expansibility. Pruning also provides a new motivation for Hartley's entropy.
Pruning and Measures of Uncertainty
SEMPI, Carlo
1978-01-01
Abstract
We introduce a new property, pruning, for measures of uncertainty and investigate its consequences. In particular, we derive a new characterization of the additive, subadditive and symmetric entropies without assuming expansibility. Pruning also provides a new motivation for Hartley's entropy.File in questo prodotto:
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