A nonstandard modification of Dempster combination rule

Ivan Kramosil

Kybernetika (2002)

  • Volume: 38, Issue: 1, page [1]-12
  • ISSN: 0023-5954

Abstract

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It is a well-known fact that the Dempster combination rule for combination of uncertainty degrees coming from two or more sources is legitimate only if the combined empirical data, charged with uncertainty and taken as random variables, are statistically (stochastically) independent. We shall prove, however, that for a particular but large enough class of probability measures, an analogy of Dempster combination rule, preserving its extensional character but using some nonstandard and boolean-like structures over the unit interval of real numbers, can be obtained without the assumption of statistical independence of input empirical data charged with uncertainty.

How to cite

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Kramosil, Ivan. "A nonstandard modification of Dempster combination rule." Kybernetika 38.1 (2002): [1]-12. <http://eudml.org/doc/33564>.

@article{Kramosil2002,
abstract = {It is a well-known fact that the Dempster combination rule for combination of uncertainty degrees coming from two or more sources is legitimate only if the combined empirical data, charged with uncertainty and taken as random variables, are statistically (stochastically) independent. We shall prove, however, that for a particular but large enough class of probability measures, an analogy of Dempster combination rule, preserving its extensional character but using some nonstandard and boolean-like structures over the unit interval of real numbers, can be obtained without the assumption of statistical independence of input empirical data charged with uncertainty.},
author = {Kramosil, Ivan},
journal = {Kybernetika},
keywords = {nonstandard probability; Boolean algebra; nonstandard probability; Boolean algebra},
language = {eng},
number = {1},
pages = {[1]-12},
publisher = {Institute of Information Theory and Automation AS CR},
title = {A nonstandard modification of Dempster combination rule},
url = {http://eudml.org/doc/33564},
volume = {38},
year = {2002},
}

TY - JOUR
AU - Kramosil, Ivan
TI - A nonstandard modification of Dempster combination rule
JO - Kybernetika
PY - 2002
PB - Institute of Information Theory and Automation AS CR
VL - 38
IS - 1
SP - [1]
EP - 12
AB - It is a well-known fact that the Dempster combination rule for combination of uncertainty degrees coming from two or more sources is legitimate only if the combined empirical data, charged with uncertainty and taken as random variables, are statistically (stochastically) independent. We shall prove, however, that for a particular but large enough class of probability measures, an analogy of Dempster combination rule, preserving its extensional character but using some nonstandard and boolean-like structures over the unit interval of real numbers, can be obtained without the assumption of statistical independence of input empirical data charged with uncertainty.
LA - eng
KW - nonstandard probability; Boolean algebra; nonstandard probability; Boolean algebra
UR - http://eudml.org/doc/33564
ER -

References

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  1. Dubois D., Prade H., Théorie de Possibilités – Applications à la Représentation de Connaissances en Informatique, Mason, Paris 1985 
  2. Faure R., Heurgon E., Structures Ordonnées et Algébres de Boole, Gauthier–Villars, Paris 1971 Zbl0219.06001MR0277440
  3. Halmos P. R., Measure Theory, D. van Nostrand, New York – Toronto – London 1950 Zbl0283.28001MR0033869
  4. Kramosil I., 10.1080/03081079508908038, Internat. J. Gen. Systems 23 (1994), 2, 173–198 (1994) DOI10.1080/03081079508908038
  5. Kramosil I., A probabilistic analysis of Dempster combination rule, In: The Logica Yearbook 1997, Prague 1997, pp. 175–187 (1997) 
  6. Kramosil I., Probabilistic Analysis of Belief Functions, Kluwer Academic / Plenum Publishers, New York – Boston – Dordrecht – London – Moscow 2001 
  7. Shafer G., A Mathematical Theory of Evidence, Princeton Univ. Press, Princeton 1976 Zbl0359.62002MR0464340
  8. Sikorski R., Boolean Algebras, Springer–Verlag, Berlin – Göttingen – Heidelberg 1960 Zbl0191.31505MR0126393

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