Abstract
To properly process data, we need to know the accuracy of different data points, i.e., accuracy of different measurement results and expert estimates. Often, this accuracy is not given. For such situations, we describe how this accuracy can be estimated based on the available data.
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© 2014 Springer International Publishing Switzerland
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Servin, C., Jaimes, A., Tweedie, C., Velasco, A., Ochoa, O., Kreinovich, V. (2014). How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_32
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DOI: https://doi.org/10.1007/978-3-319-03674-8_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03673-1
Online ISBN: 978-3-319-03674-8
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