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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location :
Warsaw
Print_ISBN :
1-4244-0588-2
DOI :
10.1109/IMTC.2007.379067
