Title :
Modelling and Processing Measurement Uncertainty within the Theory of Evidence
Author :
Ferrero, Alessandro ; Salicone, Simona
Author_Institution :
Dipt. di Elettrotecnica, Politecnico di Milano
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;
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
DOI :
10.1109/AMYEM.2006.1650737
