Fuzzy handling of measurement errors in instrumentation

Abstract

This paper focuses on the use of possibility theory and of fuzzy subset theory to deal with the uncertainty of the measurements handled in instrumentation systems. Methods are described for building fuzzy subsets from numerical data coming from imprecise "physical" sensors on the one hand, and handling approximate estimations provided by "human" sensors on the other hand. The propagation of the fuzzy representation of acquired measures in further treatments, such as those involved in performance indicators aimed at controlling manufacturing production, is also considered.