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A Note on the Convex Structure of Uncertainty Measures on MV-algebras

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Synergies of Soft Computing and Statistics for Intelligent Data Analysis

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 190))

Abstract

In this paper we address the issue of providing a geometrical characterization for the decision problem of asking whether a partial assignment β:f i α i mapping fuzzy events f i into real numbers α i (i = 1, …,n) extends to a generalized belief function on fuzzy sets, according to a suitable definition. We will characterize this problem in a way that allows to treat it as the membership problem of a point to a specific convex set.

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Correspondence to Tommaso Flaminio .

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Flaminio, T., Lacasa, L.G. (2013). A Note on the Convex Structure of Uncertainty Measures on MV-algebras. In: Kruse, R., Berthold, M., Moewes, C., Gil, M., Grzegorzewski, P., Hryniewicz, O. (eds) Synergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33042-1_9

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  • DOI: https://doi.org/10.1007/978-3-642-33042-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33041-4

  • Online ISBN: 978-3-642-33042-1

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