Parameters in cause and effect diagram for uncertainty evaluation

The cause and effect analysis is very useful tool to identify the sources, to ensure comprehensive coverage, and to avoid overcounting of uncertainty components. It is shown that the parameters in cause and effect diagram shall be the uncertainty components for major categories, subcategories, and effect rather than quantities. A pitfall is exemplified when the parameters in the diagram are mixed with quantities and uncertainty components.