Skip to main content

A note on multi-objective information measures

  • Theory of Evidence
  • Conference paper
  • First Online:
Advances in Intelligent Computing — IPMU '94 (IPMU 1994)

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. D. Dubois, H. Prade, 1988, Possibility Theory, Plenum Press, New York.

    Google Scholar 

  2. D. Dubois, H. Prade, 1987, Properties of measures of information in evidence and possiblity theories. Fuzzy Sets Syst., 24.

    Google Scholar 

  3. M. Higashi, G. Klir, 1983, On the notion of distance representing information closeness, Int. J. Gen. Sys., 9.

    Google Scholar 

  4. M. Higashi, G. Klir, 1982, Measures of uncertainty and information based on possibility distributions, Int. J. Gen. Sys., 8.

    Google Scholar 

  5. J. N. Kapur, H. K. Kesavan, 1992, Entropy Optimization Principles with Applications, Academic Press, New York.

    Google Scholar 

  6. J. Pearl, 1988, Probabilistic Reasoning in Intelligent Systems, Morgan Kaufmann, San Mateo, CA.

    Google Scholar 

  7. A. Ramer, C. Padet, 1995, Principle of maximizing fuzzy uncertainty, Int. J. General Systems, (to appear).

    Google Scholar 

  8. A. Ramer, 1994, Information Semantics of Possibilistic Uncertainty, Fuzzy Sets Syst., 23.

    Google Scholar 

  9. A. Ramer, 1992, Information and decisions in non-probabilistic uncertainty, Proc. 2nd IIZUKA Int. Conf. on Fuzzy Logic and Neural Networks, Iizuka, Japan.

    Google Scholar 

  10. A. Ramer, 1990, Structure of possibilistic information metrics and distances, Int. J. Gen. Sys., 17.

    Google Scholar 

  11. G. Shafer, 1976, A Mathematical Theory of Evidence. Priceton University Press, Princeton.

    Google Scholar 

  12. R. R. Yager, 1983, Entropy and specificity in a mathematical theory of evidence, Int. J. Gen. Sys. 9.

    Google Scholar 

  13. R. R. Yager, 1980, Aspects of possibilistic uncertainty, Int. Man-Machine Stud., 12.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Bernadette Bouchon-Meunier Ronald R. Yager Lotfi A. Zadeh

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Padet, C., Ramer, A., Yager, R. (1995). A note on multi-objective information measures. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Advances in Intelligent Computing — IPMU '94. IPMU 1994. Lecture Notes in Computer Science, vol 945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035938

Download citation

  • DOI: https://doi.org/10.1007/BFb0035938

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60116-6

  • Online ISBN: 978-3-540-49443-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics