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General Geometry of Belief Function Combination

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Belief Functions: Theory and Applications (BELIEF 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11069))

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Abstract

In this paper we build on previous work on the geometry of Dempster’s rule to investigate the geometric behaviour of various other combination rules, including Yager’s, Dubois’, and disjunctive combination, starting from the case of binary frames of discernment. Believability measures for unnormalised belief functions are also considered. A research programme to complete this analysis is outlined.

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Notes

  1. 1.

    For Dempster’s rule can be extended to pseudo belief functions.

  2. 2.

    We write m(x) instead of \(m(\{x\})\), \(Bel_x\) rather than \(Bel_{\{x\}}\) to simplify the notation.

References

  1. Cuzzolin, F.: Geometry of Dempster’s rule of combination. IEEE Trans. Syst. Man Cybern. Part B 34(2), 961–977 (2004)

    Article  Google Scholar 

  2. Cuzzolin, F.: A geometric approach to the theory of evidence. IEEE Trans. Syst. Man Cybern. Part C 38(4), 522–534 (2008)

    Article  Google Scholar 

  3. Cuzzolin, F.: The Geometry of Uncertainty. Springer, New York (2018). https://doi.org/10.1007/978-1-4615-0813-7

    Book  Google Scholar 

  4. Daniel, M.: Algebraic structures related to the combination of belief functions. Scientiae Mathematicae Japonicae 60(2), 501–511 (2004)

    MathSciNet  Google Scholar 

  5. Dubois, D., Prade, H.: Representation and combination of uncertainty with belief functions and possibility measures. Comput. Intell. 4(3), 244–264 (1988)

    Article  Google Scholar 

  6. Hajek, P., Valdes, J.J.: Generalized algebraic foundations of uncertainty processing in rule-based expert systems (dempsteroids). Comput. Artif. Intell. 10(1), 29–42 (1991)

    MATH  Google Scholar 

  7. Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)

    MATH  Google Scholar 

  8. Smets, P.: Belief functions : the disjunctive rule of combination and the generalized Bayesian theorem. Int. J. Approx. Reason. 9, 1–35 (1993)

    Article  MathSciNet  Google Scholar 

  9. Smets, P.: The nature of the unnormalized beliefs encountered in the transferable belief model. In: Proceedings of UAI 1992, pp. 292–297 (1992)

    Google Scholar 

  10. Yager, R.R.: On the Dempster-Shafer framework and new combination rules. Inf. Sci. 41(2), 93–137 (1987)

    Article  MathSciNet  Google Scholar 

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Correspondence to Fabio Cuzzolin .

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Cuzzolin, F. (2018). General Geometry of Belief Function Combination. In: Destercke, S., Denoeux, T., Cuzzolin, F., Martin, A. (eds) Belief Functions: Theory and Applications. BELIEF 2018. Lecture Notes in Computer Science(), vol 11069. Springer, Cham. https://doi.org/10.1007/978-3-319-99383-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-99383-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99382-9

  • Online ISBN: 978-3-319-99383-6

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