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Basic Definitions of the Theory of Evidence

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Measuring Uncertainty within the Theory of Evidence

Part of the book series: Springer Series in Measurement Science and Technology ((SSMST))

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Abstract

In Chapter 5, the difference among belief functions, probability functions, and Bayesian belief functions has been briefly explained, in order to prevent possible confusion between concepts that are different, though similar.

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Notes

  1. 1.

    The proofs of all theorems can be found at the end of this chapter.

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Salicone, S., Prioli, M. (2018). Basic Definitions of the Theory of Evidence. In: Measuring Uncertainty within the Theory of Evidence. Springer Series in Measurement Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-74139-0_6

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