Uncertainty evaluation by means of joint possibility distributions
Politecnico di Milano, Dept. of Electronics, Information and Bioengineering, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
a Corresponding author: firstname.lastname@example.org
The recent theories of evidence and possibility represent an interesting generalization of the wellknow probability theory. Therefore, they appear to be a promising mathematical framework for the expression of uncertainty in measurement, capable of overcoming the limitations of the presently followed probability approach when uncompensated systematic effects are present. This paper proposes an example of uncertainty evaluation framed within these new theories and an experimental validation that shows the correctness and effectiveness of the proposed approach.
© Owned by the authors, published by EDP Sciences, 2013
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.