Skip to main content

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 219))

  • 3623 Accesses

Abstract

This paper studies belief functions, set functions which are normalized and monotone of order 8. The concepts of continuity and condensability are defined for belief functions, and it is shown how to extend continuous or condensable belief functions from an algebra of subsets to the corresponding power set. The main tool used in this extension is the theorem that every belief function can be represented by an allocation of probability i.e., by a n-homomorphism into a positive and completely additive probability algebra. This representation can be deduced either from an integral representation due to Choquet or from more elementary work by Revuz and Honeycutt.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Choquet, Gustave (1953). Theory of capacities. Ann. Inst. Fourier 5 131–295.

    Google Scholar 

  2. Choquet, Gustave (1969). Lectures on Analysis. Benjamin, New York.

    Google Scholar 

  3. Dempster, A. P. (1967). Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Statist. 38 325–339.

    Article  MathSciNet  Google Scholar 

  4. Dempster, A. P. (1968). A generalization of Bayesian inference. J. Roy. Statist. Soc. Ser. B 30 205–247.

    MathSciNet  Google Scholar 

  5. Halmos, Paul R. (1963). Lectures on Boolean Algebras. Van Nostrand-Reinhold, London.

    MATH  Google Scholar 

  6. Honeycutt, James E., Jr. (1971). On an abstract Stieltjes measure. Ann. Inst. Fourier (Grenoble) 21 143–154.

    Google Scholar 

  7. Revuz, Andre (1955). Fonctions roissantes et mesuressur les espaces topologiques ordonnès. Ann. Inst.Fourier 6 187–269.

    MathSciNet  Google Scholar 

  8. Shafer, Glenn (1976a). A Mathematical Theory of Evidence. Princeton Univ. Press.

    MATH  Google Scholar 

  9. Shafer, Glenn (1976b). A theory of statistical evidence. In Foundations of Probability Theory, Statistical Inference and Statistical Theories of Science (W. L. Harper and C. A. Hooker, eds.) 2, pp. 365–436.

    Google Scholar 

  10. Shafer, Glenn (1978). Dempster’s rule of combination.Unpublished manuscript.

    Google Scholar 

  11. Sikorski, Roman (1969). Boolean Algebras, 3rd ed. Springer-Verlag, New York.

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Shafer, G. (2008). Allocations of Probability. In: Yager, R.R., Liu, L. (eds) Classic Works of the Dempster-Shafer Theory of Belief Functions. Studies in Fuzziness and Soft Computing, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44792-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-44792-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25381-5

  • Online ISBN: 978-3-540-44792-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics