TY - JOUR
T1 - Solutions to problems with imprecise data - An engineering perspective to generalized uncertainty models.
AU - Pannier, Stefan
AU - Waurick, Marcus
AU - Graf, Wolfgang
AU - Kaliske, Michael
PY - 2013/5
Y1 - 2013/5
N2 - The present paper is about data corrupted by both aleatoric and epistemic uncertainty. A unification of randomness, which represents aleatoric uncertainty, and fuzziness, which represents epistemic uncertainty, is dicussed in detail. As a result, the main uncertainty characteristics, i.e., variability, incompleteness and imprecision, can be described. With a focus on engineering problems the aim is to bridge the imprecision of data to the decision making process. Suitable fields of applications are highlighted; remarks on the numerical treatment are given.
AB - The present paper is about data corrupted by both aleatoric and epistemic uncertainty. A unification of randomness, which represents aleatoric uncertainty, and fuzziness, which represents epistemic uncertainty, is dicussed in detail. As a result, the main uncertainty characteristics, i.e., variability, incompleteness and imprecision, can be described. With a focus on engineering problems the aim is to bridge the imprecision of data to the decision making process. Suitable fields of applications are highlighted; remarks on the numerical treatment are given.
UR - http://dx.doi.org/10.1016/j.ymssp.2012.08.002
U2 - 10.1016/j.ymssp.2012.08.002
DO - 10.1016/j.ymssp.2012.08.002
M3 - Article
SN - 0888-3270
VL - 37
SP - 105
EP - 120
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
IS - 1-2
ER -