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., Univ. de Savoie, France

Volume

2

fYear

1997

fDate

19-21 May 1997

Firstpage

784

Abstract

This paper focuses on the use of the possibility theory and of the fuzzy subset theory to deal with the imprecision and/or uncertainty of the information handled in measurement systems. Methods are described: for building fuzzy subsets from numerical data coming from “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, is also considered

Keywords

error handling; fuzzy set theory; measurement errors; measurement systems; performance index; possibility theory; uncertainty handling; acquired measures; approximate estimations; fuzzy handling; fuzzy subset theory; human sensors; measurement errors in instrumentation; measurement systems; performance indicators; physical sensors; possibility theory; symbolic information; uncertainty; Calculus; Control systems; Humans; Instruments; Measurement errors; Possibility theory; Probability; Sensor phenomena and characterization; Uncertainty; World Wide Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE

Conference_Location

Ottawa, Ont.

ISSN

1091-5281

Print_ISBN

0-7803-3747-6

Type

conf

DOI

10.1109/IMTC.1997.610184

Filename

610184