Abstract
The lack of a unique model to represent quantified uncertainty constitutes a problem for the user: which model should be applied in what situation? We present some models for the quantified representation of uncertainty, focusing on their applicability more than on their mathematical structure. Imprecision often underlies uncertainty, hence we will also study imprecision.
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References
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Smets, P. (1998). Probability, Possibility, Belief: Which and Where?. In: Smets, P. (eds) Quantified Representation of Uncertainty and Imprecision. Handbook of Defeasible Reasoning and Uncertainty Management Systems, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1735-9_1
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DOI: https://doi.org/10.1007/978-94-017-1735-9_1
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