Entropies of vague information sources

Milan Mareš

Kybernetika (2011)

  • Volume: 47, Issue: 3, page 337-355
  • ISSN: 0023-5954

Abstract

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The information-theoretical entropy is an effective measure of uncertainty connected with an information source. Its transfer from the classical probabilistic information theory models to the fuzzy set theoretical environment is desirable and significant attempts were realized in the existing literature. Nevertheless, there are some open topics for analysis in the suggested models of fuzzy entropy - the main of them regard the formal aspects of the fundamental concepts. Namely their rather additive (i. e., probability-like) than monotonous (typical for fuzzy set theoretical models) structure. The main goal of this paper is to describe briefly the existing state of art, and to suggest and analyze alternative, more fuzzy set theoretical, approaches to the fuzzy entropy developed as a significant characteristic of the information sources, in the information-theoretical sense.

How to cite

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Mareš, Milan. "Entropies of vague information sources." Kybernetika 47.3 (2011): 337-355. <http://eudml.org/doc/196685>.

@article{Mareš2011,
abstract = {The information-theoretical entropy is an effective measure of uncertainty connected with an information source. Its transfer from the classical probabilistic information theory models to the fuzzy set theoretical environment is desirable and significant attempts were realized in the existing literature. Nevertheless, there are some open topics for analysis in the suggested models of fuzzy entropy - the main of them regard the formal aspects of the fundamental concepts. Namely their rather additive (i. e., probability-like) than monotonous (typical for fuzzy set theoretical models) structure. The main goal of this paper is to describe briefly the existing state of art, and to suggest and analyze alternative, more fuzzy set theoretical, approaches to the fuzzy entropy developed as a significant characteristic of the information sources, in the information-theoretical sense.},
author = {Mareš, Milan},
journal = {Kybernetika},
keywords = {information source; fuzzy entropy; fuzzy information; additivity; probabilistic model of entropy; measure of uncertainty},
language = {eng},
number = {3},
pages = {337-355},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Entropies of vague information sources},
url = {http://eudml.org/doc/196685},
volume = {47},
year = {2011},
}

TY - JOUR
AU - Mareš, Milan
TI - Entropies of vague information sources
JO - Kybernetika
PY - 2011
PB - Institute of Information Theory and Automation AS CR
VL - 47
IS - 3
SP - 337
EP - 355
AB - The information-theoretical entropy is an effective measure of uncertainty connected with an information source. Its transfer from the classical probabilistic information theory models to the fuzzy set theoretical environment is desirable and significant attempts were realized in the existing literature. Nevertheless, there are some open topics for analysis in the suggested models of fuzzy entropy - the main of them regard the formal aspects of the fundamental concepts. Namely their rather additive (i. e., probability-like) than monotonous (typical for fuzzy set theoretical models) structure. The main goal of this paper is to describe briefly the existing state of art, and to suggest and analyze alternative, more fuzzy set theoretical, approaches to the fuzzy entropy developed as a significant characteristic of the information sources, in the information-theoretical sense.
LA - eng
KW - information source; fuzzy entropy; fuzzy information; additivity; probabilistic model of entropy; measure of uncertainty
UR - http://eudml.org/doc/196685
ER -

References

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