Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-3747-6
DOI :
10.1109/IMTC.1997.610184