Research
Continuing from yesterday question on the main points I’m trying to get across.
- There is knowledge abstraction. If all experts in a domain can simplify their knowledge to equations and probability distributions an uncertainty analysis can easily be integrated into the model development.
I might need to spend some time detailing why its needed.
When I’m lost, try just come back to giving outlines of each section.
I think there’s merit in the point that generalisation to functions allows for easier integration of uncertainty into model development. If you’re an LCA practioner you just need to define a function for you unit process