DocumentCode
1344616
Title
How to Process the Random Part of RFVs: Comparison of Available Methods and New Proposal
Author
Mencattini, Arianna ; Salicone, Simona
Author_Institution
Dipt. di Ing. Elettron., Univ. di Roma Tor Vergata, Rome, Italy
Volume
59
Issue
1
fYear
2010
Firstpage
15
Lastpage
26
Abstract
In the recent years, fuzzy variables (FVs) and random-fuzzy variables (RFVs) 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 FVs should be composed together, so different approaches have been proposed. This paper compares these approaches to find their advantages and disadvantages and shows a new proposal that is supposed to hopefully overcome the disadvantages of the original approaches.
Keywords
fuzzy set theory; measurement uncertainty; RFV; fuzzy variables; measurement uncertainty estimation; random-fuzzy variables; Random contributions; random-fuzzy variables (RFVs); t-norms; uncertainty estimation;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2009.2025685
Filename
5342523
Link To Document