DocumentCode
2909585
Title
The RFV method applied to uncertainty estimation: a case study
Author
Ferrero, Alessandro ; Salicone, Simona
Author_Institution
Politecnico di Milano Piazza Leonardo da Vinci, Milan
fYear
2007
fDate
1-3 May 2007
Firstpage
1
Lastpage
6
Abstract
Random-fuzzy variables have been proposed for uncertainty expression. An exhaustive mathematical framework is available to build and process RFVs. This paper is aimed at showing how RFVs can be built and used in a simple practical application, starting from the available metrological information.
Keywords
estimation theory; fuzzy set theory; measurement uncertainty; RFV method; measurement uncertainty; random-fuzzy variables; uncertainty estimation; uncertainty expression; Electrical resistance measurement; Fuzzy set theory; Instrumentation and measurement; Mathematics; Measurement uncertainty; Particle measurements; Possibility theory; Upper bound; Measurement uncertainty; Random-Fuzzy variables application;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location
Warsaw
ISSN
1091-5281
Print_ISBN
1-4244-0588-2
Type
conf
DOI
10.1109/IMTC.2007.379067
Filename
4258142
Link To Document