Open AccessApplication of Dempster-Shafer theory to integrate methods to propagate variability and epistemic uncertainty in agricultural LCA
Author(s) -
Xiaobo Chen,
Michael S. Corson,
R. Schenck,
D. Huizen
Publication year - 2014
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - dempster–shafer theory , uncertainty quantification , computer science , measurement uncertainty , artificial intelligence , machine learning , mathematics , statistics