Abstract
Practically all measurement processes end up in making a decision, according to the result of a comparison between the measurement result and another given value, either a threshold or another measurement result. In the simplest situation, when the measurement result has to be compared with a threshold and the measurement uncertainty is taken into account by representing the measurement result with a random-fuzzy variable (RFV), this comparison is performed between an RFV and a scalar value. In more complicated situations, when the measurement result has to be compared with another measurement value, the comparison is performed between two RFVs.
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© 2007 Springer Science+Business Media, LLC
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(2007). Decision-Making Rules with Random-Fuzzy Variables. In: Measurement Uncertainty. Springer Series in Reliability Engineering. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-46328-5_9
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DOI: https://doi.org/10.1007/978-0-387-46328-5_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30655-1
Online ISBN: 978-0-387-46328-5
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