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Statistical Analysis of Uncertain Measurements in Modeling of Water and Wastewater Systems
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Datum
2005
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Masaryk University Brno
Zusammenfassung
Statistical data used in the analysis of environmental problems are very often presented in an imprecise way. We make a distinction between random uncertainty that can be described by stochastic models and linguistic lack of precision that may be modelled by fuzzy sets or possibilistic distributions. In the paper we present a short introduction to fuzzy statistics which may be useful for the analysis of such kind of data. This methodology is illustrated with the example of the communal water supply prediction problem when the statistical data include both the results of measurements and imprecise expert opinions.