Abstract
This paper attempts to look at intelligent measurement as a process of transforming an initial a priori information into a final measurement result. This point of view allows to consider all sorts of information available including quantitative and qualitative (expressed in a linguistic format) and to address measurements applied in rather distant areas like engineering and social sciences. In this case the measurement can be considered as a fuzzy granulation process. The classification of all information commonly utilised in measurements is given. The paper reviews some ways of the current fuzzy logic applications in metrology and measurement technology and proposes new ways based on the development of expert system and their inclusion into measuring instruments.
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Reznik, L. (1999). What is Intelligent Measurement?. In: Zadeh, L.A., Kacprzyk, J. (eds) Computing with Words in Information/Intelligent Systems 1. Studies in Fuzziness and Soft Computing, vol 33. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1873-4_4
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DOI: https://doi.org/10.1007/978-3-7908-1873-4_4
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-662-11362-2
Online ISBN: 978-3-7908-1873-4
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