Title
The random-fuzzy variables: a new approach to the expression of uncertainty in measurement
Abstract
The IEC-ISO Guide to the expression of uncertainty in measurement provides the definition of the uncertainty of a measurement result and the guidelines to estimate express and process it. The guide refers to the probability theory, as the most known and used mathematical tool to deal with distributions of values. However, the probability theory is not the only tool to deal with distributions of values and is not the most suitable one when the values do not distribute in a totally random way. A more general theory, the theory of the evidence should be considered that encompasses the probability theory and the possibility theory. This paper recalls the fundamentals of the theory of the evidence and shows how the random-fuzzy variables can be framed within this theory and usefully employed to represent the result of a measurement together with its associated uncertainty. Mathematics is defined on the random-fuzzy variables, so that the uncertainty can be processed and simple examples are given showing the effectiveness of these variables in expressing the result of a measurement and its uncertainty in full agreement with the spirit of the IEC-ISO Guide.
Year
DOI
Venue
2004
10.1109/TIM.2004.831506
Instrumentation and Measurement Technology Conference, 2003. IMTC '03. Proceedings of the 20th IEEE
Keywords
Field
DocType
IEC standards,measurement theory,measurement uncertainty,probability,IEC-ISO,evidence theory,metrology,probability theory,random-fuzzy variables,statistical approach,uncertainty expression,uncertainty measurement,Fuzzy variables,metrology,uncertainty expression
Mathematical optimization,Measurement theory,Fuzzy logic,Measurement uncertainty,Possibility theory,Control engineering,Probability theory,Reference standards,Mathematics,Iec standards,Theory of evidence
Journal
Volume
Issue
ISSN
53
5
0018-9456
ISBN
Citations 
PageRank 
0-7803-7705-2
53
7.67
References 
Authors
5
2
Name
Order
Citations
PageRank
A. Ferrero137688.12
Simona Salicone226333.62