A pragmatic uncertainty measure based on rate-distortion theory and the uncertainty of BOE's.

Anna Fioretto; Andrea Sgarro

Mathware and Soft Computing (1996)

  • Volume: 3, Issue: 1-2, page 225-231
  • ISSN: 1134-5632

Abstract

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We discuss pragmatic information measures (hypergraph entropy and fractional entropy) inspired by source-coding theory (rate-distortion theory). We re-phrase the problem in the language of evidence theory, by expressing the pragmatic requirements of the human agent in terms of suitable bodies of evidence, or BOE's. We tackle the situation when the overall uncertainty is removed in two steps. In the case when fractional entropy measures the first-step (partial, pragmatic) uncertainty, we put forward an information measure for the uncertainty left in the second step. The results found plead in favour of uncertainty measures for BOE's obtained by maximization of Shannon entropies.

How to cite

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Fioretto, Anna, and Sgarro, Andrea. "A pragmatic uncertainty measure based on rate-distortion theory and the uncertainty of BOE's.." Mathware and Soft Computing 3.1-2 (1996): 225-231. <http://eudml.org/doc/39074>.

@article{Fioretto1996,
abstract = {We discuss pragmatic information measures (hypergraph entropy and fractional entropy) inspired by source-coding theory (rate-distortion theory). We re-phrase the problem in the language of evidence theory, by expressing the pragmatic requirements of the human agent in terms of suitable bodies of evidence, or BOE's. We tackle the situation when the overall uncertainty is removed in two steps. In the case when fractional entropy measures the first-step (partial, pragmatic) uncertainty, we put forward an information measure for the uncertainty left in the second step. The results found plead in favour of uncertainty measures for BOE's obtained by maximization of Shannon entropies.},
author = {Fioretto, Anna, Sgarro, Andrea},
journal = {Mathware and Soft Computing},
keywords = {Medidas de información; Teoría de grafos; Entropía; Incertidumbre; Teoría de la evidencia},
language = {eng},
number = {1-2},
pages = {225-231},
title = {A pragmatic uncertainty measure based on rate-distortion theory and the uncertainty of BOE's.},
url = {http://eudml.org/doc/39074},
volume = {3},
year = {1996},
}

TY - JOUR
AU - Fioretto, Anna
AU - Sgarro, Andrea
TI - A pragmatic uncertainty measure based on rate-distortion theory and the uncertainty of BOE's.
JO - Mathware and Soft Computing
PY - 1996
VL - 3
IS - 1-2
SP - 225
EP - 231
AB - We discuss pragmatic information measures (hypergraph entropy and fractional entropy) inspired by source-coding theory (rate-distortion theory). We re-phrase the problem in the language of evidence theory, by expressing the pragmatic requirements of the human agent in terms of suitable bodies of evidence, or BOE's. We tackle the situation when the overall uncertainty is removed in two steps. In the case when fractional entropy measures the first-step (partial, pragmatic) uncertainty, we put forward an information measure for the uncertainty left in the second step. The results found plead in favour of uncertainty measures for BOE's obtained by maximization of Shannon entropies.
LA - eng
KW - Medidas de información; Teoría de grafos; Entropía; Incertidumbre; Teoría de la evidencia
UR - http://eudml.org/doc/39074
ER -

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