These methods have been applied in a variety of decision situations, such as Covid-19 mitigation, large-scale energy planning, allocation planning, de-mining, portfolio risks, gold mining, and many others, and is suitable, for instance, in interactive multi-criteria decision analysis approaches to synthesize outcome predictions and stakeholder preferences from multiple perspectives into decision recommendations.
The methodological components could be partitioned into:
(i) a co-creative preference elicitation component,
(ii) a multi-criteria component,
(iii) a risk analytical component, and
(iv) an aggregation and analysis component.
We emphasize the involvement of stakeholders in the decision-making processes and model development as it is generally essential for catering to stakeholder requirements, but also for increasing the acceptability of the decisions. Policy-makers need, for instance, to weigh their decisions against the political costs of implementing sometimes unpopular sets of measures. Not least in emergency situations, a distributed decision-making process could contribute to ensuring that the responsibilities for the results are as well distributed, lowering the political costs and making way for the consideration of a variety of criteria relevant to the problems at hand.
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