REPRESENTING MEASURED QUANTITIES AND MEASUREMENT ERRORS AS FUZZY VARIABLES

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Abstract

In order to describe measured quantities and measurement errors as fuzzy variables, two forms are considered of simplified assignment functions in the form of trapezia with rectilinear and curvilinear sides. The expressions for the systematic and random error components then correspond to the existing standardization documentation. The mathematical processing programs for measurements operate with rules for acting with fuzzy variables and have potential capacity for providing their own metrological documentation. Comparative numerical examples are given.

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