Abstract
Robustness is an important problem in statistics. However, robustness of statistical procedures for vague data cannot be limited to insensitivity to departures from assumptions on the underlying distributions. Since the shapes of membership functions applied for modelling vague data are generally strongly subjective one may ask about the influence of these shapes on further decisions.Thus the robustness of the statistical procedures to data representation is also of interest.
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Grzegorzewski, P. (2008). Statistics with Vague Data and the Robustness to Data Representation. In: Dubois, D., Lubiano, M.A., Prade, H., Gil, M.Á., Grzegorzewski, P., Hryniewicz, O. (eds) Soft Methods for Handling Variability and Imprecision. Advances in Soft Computing, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85027-4_13
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DOI: https://doi.org/10.1007/978-3-540-85027-4_13
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