Results of climate policy
analysis under deep uncertainty with imprecise probabilities (Kriegler, 2005; Kriegler et al. 2006) are consistent with the previous findings using classical models.
Not exact matches
Assuming that climate change and other
deep uncertainties can not be eliminated over the short term (and probably even over the longer term), it then summarizes existing decision - making methodologies that are able to deal with climate - related
uncertainty, namely cost - benefit
analysis under uncertainty, cost - benefit
analysis with real options, robust decision making, and climate informed decision
analysis.
Looking at other decision making frameworks that are more suitable
under conditions of
deep uncertainty motivates a different type of
analysis and emphasizes assessment of
uncertainty and areas of ignorance.
A way forward is the decision analytic framework of robust decision making
under deep uncertainty, which emphasizes scenario discovery and
uncertainty analysis and identifying a broad range of robust decision strategies.