Measures of information : the general axiomatic theory
- Volume: 3, Issue: R2, page 63-89
- ISSN: 0764-583X
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topForte, Bruno. "Measures of information : the general axiomatic theory." ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique 3.R2 (1969): 63-89. <http://eudml.org/doc/193124>.
@article{Forte1969,
author = {Forte, Bruno},
journal = {ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique},
keywords = {information, communication},
language = {eng},
number = {R2},
pages = {63-89},
publisher = {Dunod},
title = {Measures of information : the general axiomatic theory},
url = {http://eudml.org/doc/193124},
volume = {3},
year = {1969},
}
TY - JOUR
AU - Forte, Bruno
TI - Measures of information : the general axiomatic theory
JO - ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
PY - 1969
PB - Dunod
VL - 3
IS - R2
SP - 63
EP - 89
LA - eng
KW - information, communication
UR - http://eudml.org/doc/193124
ER -
References
top- [1] J. KAMPÉ de FÉRIET et B. FORTE, Information et probabilité, C. R. Acad. Sci., Paris, 265 (1967), 110-114. Zbl0201.53002MR220541
- [2] J. KAMPÉ de FÉRIET et B. FORTE, Information et probabilité, C. R. Acad Sci., Paris, 265 (1967), 142-146. Zbl0201.53003MR220542
- [3] J. KAMPÉ de FÉRIET et B. FORTE, Information et probabilité, C. R. Acad Sci., Paris, 265 (1967), 350-353. Zbl0157.25902MR225598
- [4] B. FORTE, On the amount of information given by an experiment, Colloquium on Information Theory, Debrecen (1967), in printing. Zbl0187.17001MR247932
- [5] B. FORTE et N. PINTACUDA, Sull'informazione associata alle esperienze incomplete, Ann. Mat. Pura e App., in printing. For a summary of this paper see : Information fournie par une expérience, C. R. Acad. Sci., Paris, 266 (1968), 242-245. Zbl0153.48501MR231656
- [6] D. K. FADDEEV, Zum Begriff der Entropie eines endlichen Wahrscheinlichkeitsschemas, Arbeiten zur Informations theorie, Vol. I, VEB Deutscher Verlag der Wissensenschaften, Berlin (1957), 96-90.
- [7] N. PINCTACUDA, « Shannon Entropy : a more general derivation», Statistica 26, 2 (1966), 509-524. MR209070
- [8] Z. DAROCZY, Über eine Charakterisierung der Shannonschen Entropie, Statistica 27, 1(1967), 509-205. Zbl0181.22306MR216898
- [9] J. L. RIGAL, N. AGGARWAL et J. C. CANONGE, Incertitude et fonction d'imprécision liée à un questionnaire sur un espace métrique, C. R. Acad. Sci., Paris, 263 (1966) 268-270. Zbl0173.17701MR207465
- [10] J. KEMPÉ de FÉRIET, Mesure de l' information fournie par un événement, C. R. Acad. Sci., Paris, in printing.
- [11] C. BAIOCCHI, Su un sisteme di equazioni funzionali connesso alla teoria dell'informazione, Boll. U.M.I. 23, 2 (1967, 236-246. Zbl0152.14402MR219933
- [12] Z. DAROCZY, Über ein Funktionalgleichungssystem der Informations theorie, in printing. Zbl0174.20102
- [13] B. FORTE et P. BENVENUTI, Su una classe di misure regolari a traccia shannoniana, Atti del Sem, Mat. e Fis. Univ. di Modena, in printing. Zbl0188.24001
- [14] B. FORTE, On a system of functional equations in information theory, Aequationes Mathematicae, in printing. Zbl0211.17801
- [15] B. FORTE et Z. DAROCZY, Sopra un sistema di equazioni funzionali nella teoria dell'informazione, Ann. Univ. di Ferrara, in printing Zbl0175.45605
- [16] P. BENVENUTI, Sulle misure di informazione compositive a traccia compositiva non shannoniana, manuscript.
- [17] M. SCHNEIDER, Information et mesure, application aux graphes, Sem. sur les questionnaires, Inst. Blaise-Pascal, Paris, 23 oct. 1968.
Citations in EuDML Documents
top- Bruno Forte, Carlo Sempi, Pruning and measures of uncertainty
- Luisa Arlotti, Sulle entropie idempotenti a traccia shannoniana
- J. Aczél, Z. Daróczy, A mixed theory of information. I : symmetric, recursive and measurable entropies of randomized systems of events
- Luisa Arlotti, Sull'equazione dell'associatività generalizzata
- Doretta Vivona, Maria Divari, A collector for information without probability in a fuzzy setting
- Milan Mareš, Information Measure for Vague Symbols
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