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On the Conceptual Status of Belief Functions with Respect to Coherent Lower Probabilities

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2143))

Abstract

The interpretations of belief functins and their relationships with other uncertainty theories have been widely debated in the literature. Focusing on the interpretation of belief functions based on non-negative masses, in this paper we provide a contribution to this topic by addressing two questions concerning the relationships between belief functions and coherent lower probabilities. The answers we provide to both questions tend to exclude the existence of intuitively appreciable relationships between the two theories, under the above mentioned interpretation. While this may be regarded as a confirmation of the conceptual autonomy of belief functions, we also propose future research about an alternative characterization, based on the notion of independence.

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References

  1. Chateauneuf, A., Jaffray, J.-Y.: Some characterizations of lower probabilities and other monotone capacities through the use of Möbius inversion. Mathematical Social Sciences 17(1989) 263–283

    Article  MATH  MathSciNet  Google Scholar 

  2. Dempster, A.: Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics 38(1967) 325–339

    Article  MathSciNet  MATH  Google Scholar 

  3. Fagin, R., Halpern, J.Y.: Uncertainty, belief and probability. Proc. of IJCAI’89, Detroit, MI, (1989) 1161–1167

    Google Scholar 

  4. Grabisch, M.: k-Order additive discrete fuzzy measures. Proc. of IPMU 96, Granada, E, (1996) 1345–1350

    Google Scholar 

  5. Guan, J.W. and Bell, D.A.: Evidence theory and its applications. North Holland, Amsterdan, NL, (1991)

    MATH  Google Scholar 

  6. Kohlas, J., Monney, P.A.: Representation of Evidence by Hints. In:: Yager, R.R., Kacprzyk, J., Fedrizzi, M. (eds.): Advances in the Dempster-Shafer Theory of Evidence. John Wiley, New York, NY, (1994) 473–492

    Google Scholar 

  7. Nguyen, H.T.: On random sets and belief functions. Journal of Mathematical Analysis and Applications 65 (1978) 539–542

    Article  Google Scholar 

  8. Pearl, J.: Bayesian and belief function formalisms for evidential reasoning: a conceptual analysis. In: Shafer, G., Pearl, J. (eds.): Readings in Uncertain Reasoning. Morgan Kaufmann, San Mateo, CA, (1990) 540–574

    Google Scholar 

  9. Pearl, J.: Reasoning with belief functions an analysis of compatibility. International Journal of Approximate Reasoning 4 (1990) 363–390

    Article  MathSciNet  MATH  Google Scholar 

  10. Shafer, G.: A mathematical theory of evidence. Princeton University Press, Princeton, NJ, (1976)

    MATH  Google Scholar 

  11. Shafer, G., Tversky, A.: Languages and designs for probability judgment. In: Shafer, G., Pearl, J. (eds.): Readings in Uncertain Reasoning. Morgan Kaufmann, San Mateo, CA, (1990) 40–54

    Google Scholar 

  12. Smets, P.: Belief functions. In: Smets, P., Mamdani, E.H., Dubois, D., Prade, H. (eds.): Non-Standard logics for automated reasoning. Academic Press, London, UK, (1988) 253–277

    Google Scholar 

  13. Smets, P.: The combination of evidence in the transferable belief model. IEEE Trans. on Pattern Analysis and Machine Intelligence 12 (1990) 447–458

    Article  Google Scholar 

  14. Smets, P.: Resolving misunderstandings about belief functions. International Journal of Approximate Reasoning 6 (1992) 321–344

    Article  MATH  Google Scholar 

  15. Smets, P.: What is Dempster-Shafer’s model ? In: Yager, R.R., Fedrizzi, M., Kacprzyk, J. (eds.): Advances in the Dempster-Shafer Theory of Evidence. Wiley, London, UK, (1994) 5–34

    Google Scholar 

  16. Smets, P.: The canonical decomposition of a weighted belief. Proc. of IJCAI 95, Montreal, CA, (1995) 1896–1901

    Google Scholar 

  17. Smets, P.: The normative representation of quantified beliefs by belief functions. Artificial Intelligence 92 (1997)

    Google Scholar 

  18. Smets, P., Kennes, R.: The transferable belief model. Artificial Intelligence 66 (1994) 191–234

    Article  MATH  MathSciNet  Google Scholar 

  19. Vicig, P.: Epistemic Independence for Imprecise Probabilities. International Journal of Approximate Reasoning 24 (2000) 235–250

    Article  MATH  MathSciNet  Google Scholar 

  20. Voorbraak, F.: On the justification of Dempster’s rule of combination. Artificial Intelligence 48 (1991) 171–197

    Article  MathSciNet  MATH  Google Scholar 

  21. Walley, P.: Statistical reasoning with imprecise probabilities. Chapman and Hall, London,UK, (1991)

    MATH  Google Scholar 

  22. Walley, P.: Measures of uncertainty in expert systems. Artificial Intelligence 83 (1996) 1–58

    Article  MathSciNet  Google Scholar 

  23. Wang, P.: A defect in Dempster-Shafer theory. Proc. of UAI 94, Seattle, WA, (1994) 560–566

    Google Scholar 

  24. Zadeh, L.A.: A mathematical theory of evidence (book review) AI Magazine 5 (1984) 81–83

    Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Baroni, P., Vicig, P. (2001). On the Conceptual Status of Belief Functions with Respect to Coherent Lower Probabilities. In: Benferhat, S., Besnard, P. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2001. Lecture Notes in Computer Science(), vol 2143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44652-4_29

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  • DOI: https://doi.org/10.1007/3-540-44652-4_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42464-2

  • Online ISBN: 978-3-540-44652-1

  • eBook Packages: Springer Book Archive

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