Joint Random-Fuzzy Variables: A Tool for Propagating Uncertainty Through Nonlinear Measurement Functions

@article{Ferrero2016JointRV,
  title={Joint Random-Fuzzy Variables: A Tool for Propagating Uncertainty Through Nonlinear Measurement Functions},
  author={Alessandro Ferrero and Marco Prioli and Simona Salicone},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2016},
  volume={65},
  pages={1015-1021}
}
A still open issue, in uncertainty evaluation, is asymmetrical distributions of the values that can be attributed to the measurand. This problem generally becomes not negligible when the measurement function is highly nonlinear. In this case, the law of uncertainty propagation suggested by the Guide to the Expression of Uncertainty in Measurement is not… CONTINUE READING