Measurement Uncertainty

Dear colleagues,

Metrology is the scientific study of measurements. In our everyday life, we are constantly surrounded by measurements: From reading the time to weighing apples, we continuously measure something. However, measurements are also below objects, since, for example, the apple we buy has already been measured, before arriving to our greengrocer, to determine its caliber. In these measurements, uncertainty plays a very important rule. Metrologists know that no measurement makes sense without an associated uncertainty value. Without it, no decision can be taken; no comparisons can be made; no conformity can be assessed.

It is hence pivotal to know the meaning of measurement uncertainty, to understand the contributions to measurement uncertainty, to know how these contributions affect the final measurement uncertainty, to have a mathematical tool to represent measurement uncertainty and propagate it through the measurement procedure.

Many important contributions have been published in the literature in recent years, which provide different solutions to the problem of representing and processing measurement uncertainty. While some of them consider, as a mathematical framework, probability theory, others consider different, more recent mathematical theories, such as Shafer’s theory.

These contributions would fit well under the umbrella of Metrology’s Topical Collection “Measurement Uncertainty”. This Topical Collection shall include these contributions and open a discussion between different authors. 

Prof. Dr. Simona Salicone
Collection Editor

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