Title :
A comparison between different methods for processing the random part of random-fuzzy variables representing measurement results
Author :
Mencattini, Arianna ; Salicone, Simona
Author_Institution :
Dip. Ing. Elettr., Univ. di Roma Tor Vergata, Rome
Abstract :
In the recent years, fuzzy variables and random-fuzzy variables have been proposed to represent the measurement results with their associated uncertainty. However, up to now, the different authors do not yet agree in the mathematical way fuzzy variables should be composed together, so that different approaches have been proposed. This paper compares these approaches, in order to find their advantages and disadvantages and shows a new proposal, that is supposed to overcome, hopefully, the disadvantages of the original ones.
Keywords :
fuzzy logic; measurement uncertainty; random processes; measurement uncertainty; random contributions; random-fuzzy variables; t-norms; uncertainty estimation; Conferences; Control systems; Density measurement; Fuzzy control; Fuzzy systems; Mathematical model; Measurement uncertainty; Probability density function; Proposals; Random variables; Random-Fuzzy Variables; Uncertainty estimation; random contributions; t-norms;
Conference_Titel :
Advanced Methods for Uncertainty Estimation in Measurement, 2008. AMUEM 2008. IEEE International Workshop on
Conference_Location :
Trento
Print_ISBN :
978-1-4244-2236-4
Electronic_ISBN :
978-1-4244-2237-1
DOI :
10.1109/AMUEM.2008.4589938
