It is now widely accepted that the result of a measurement provides only incomplete information about the measurand and it is therefore necessary to quantify how incomplete the available information is in order to avoid a meaningless use of this same information. The still open issues concern the way the measurement results have to be characterized and the best mathematical tool to express and process uncertainty in measurement. This paper, after a short discussion about what measuring means and the different ways a measurement result can be characterized, introduces a modern approach, based on the mathematical Theory of Evidence, that is intended to overcome the limitations of the presently used approach based on the Probability Theory.

Uncertainty in measurement: is there a comprehensive mathematical theory to express it?

FERRERO, ALESSANDRO
2007-01-01

Abstract

It is now widely accepted that the result of a measurement provides only incomplete information about the measurand and it is therefore necessary to quantify how incomplete the available information is in order to avoid a meaningless use of this same information. The still open issues concern the way the measurement results have to be characterized and the best mathematical tool to express and process uncertainty in measurement. This paper, after a short discussion about what measuring means and the different ways a measurement result can be characterized, introduces a modern approach, based on the mathematical Theory of Evidence, that is intended to overcome the limitations of the presently used approach based on the Probability Theory.
2007
Measurement uncertainty; Theory of evidence; random-fuzzy variables
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/261949
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