Entropy of Credibility Distributions for Fuzzy Variables

@article{Li2008EntropyOC,
  title={Entropy of Credibility Distributions for Fuzzy Variables},
  author={Pingke Li and Baoding Liu},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2008},
  volume={16},
  pages={123-129}
}
This paper deals with the degree of uncertainty associated with fuzzy variables. Based on the notion of credibility measure, a definition of entropy is formulated from an information theoretical view and its properties are investigated. Finally, some comments are given on the construction of alternative definitions of entropy and axiomatic characterization. 
Highly Cited
This paper has 66 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
39 Citations
53 References
Similar Papers

Citations

Publications citing this paper.

66 Citations

051015'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 66 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 53 references

Foundation of Uncertainty Theory

  • B. Liu
  • Berlin, Germany: Springer-Verlag
  • 2007
Highly Influential
5 Excerpts

Uncertainty Theory: An Introduction to Its Axiomatic Foundation

  • B. Liu
  • Berlin, Germany: Springer-Verlag
  • 2004
Highly Influential
4 Excerpts

Uncertainty in Dempster-Shafer theory: A critical re-examination,

  • G. J. Klir, A. Ramer
  • Int. J. General Syst.,
  • 1990
Highly Influential
4 Excerpts

Measures of uncertainty and information based on possibility distributions,

  • M. Higashi, G. J. Klir
  • Int. J. General Syst.,
  • 1983
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…