Fuzzy handling of measurement errors in instrumentation

Author

Mauris, Gilles ; Berrah, Lamia ; Foulloy, Laurent ; Haurat, Alain

Author_Institution

Lab. d´´Autom. et de MicroInf. Ind., Savoie Univ., Annecy, France

Volume

49

Issue

1

fYear

2000

fDate

2/1/2000 12:00:00 AM

Firstpage

89

Lastpage

93

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

Keywords

ISO standards; fuzzy set theory; measurement errors; measurement systems; measurement uncertainty; possibility theory; uncertainty handling; ISO Guide compatibility; acquired measures; approximate estimations; fuzzy handling; fuzzy representation; fuzzy subset theory; imprecise physical sensors; instrumentation systems; manufacturing production control; measurement errors; measurement uncertainty; performance indicators; possibility theory; uncertainty handling; Fuzzy control; Fuzzy systems; Instruments; Manufacturing; Measurement errors; Measurement uncertainty; Particle measurements; Possibility theory; Production; Sensor phenomena and characterization;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.836316

Filename

836316