DocumentCode
2202942
Title
Modelling and Processing Measurement Uncertainty within the Theory of Evidence
Author
Ferrero, Alessandro ; Salicone, Simona
Author_Institution
Dipt. di Elettrotecnica, Politecnico di Milano
fYear
2006
fDate
20-21 April 2006
Firstpage
2
Lastpage
7
Abstract
RFVs are variables defined within the theory of evidence, which are suitable for the representation of measurement results together with the associated uncertainty, whichever is its nature. This paper proposes a suitable mathematics for processing RFVs, which considers the different nature of the uncertainty effects. This allows to process measurement algorithms in terms of RFVs, so that the final measurement result (and all associated available information) is directly obtained as a RFV
Keywords
fuzzy set theory; measurement uncertainty; fuzzy averaging operators; measurement uncertainty; process measurement algorithms; random-fuzzy variables; theory of evidence; uncertainty effects; uncertainty processing; Calibration; Costs; Mathematics; Measurement uncertainty; Particle measurements; Possibility theory; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Methods for Uncertainty Estimation in Measurement, 2006. AMUEM 2006. Proceedings of the 2006 IEEE International Workshop on
Conference_Location
Sardagna
Print_ISBN
1-4244-0249-2
Type
conf
DOI
10.1109/AMYEM.2006.1650737
Filename
1650737
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