Abstract
Chapter 1 has presented a short survey of the basic concepts of the measurement theory. In particular, it has shown that the result of a measurement represents incomplete knowledge of the measurand and this knowledge can be usefully employed only if its ‘incompleteness’ can be somehow estimated and quantified. It has also been shown that this approach requires a suitable mathematics for handling, from the quantitative point of view, incomplete knowledge. Current practice refers mainly to the probability theory, because it is the best known and most assessed mathematical theory that treats incomplete knowledge.
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© 2007 Springer Science+Business Media, LLC
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(2007). Fuzzy Variables and Measurement Uncertainty. In: Measurement Uncertainty. Springer Series in Reliability Engineering. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-46328-5_2
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DOI: https://doi.org/10.1007/978-0-387-46328-5_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30655-1
Online ISBN: 978-0-387-46328-5
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