Abstract
Within the CONFIDENCE project, comprehensive methods have been developed for better support of decision making under uncertain conditions, mainly by use of Multi Criteria Decision Analysis (MCDA). While MCDA in general was available for use in the radiological crisis management community, no method of analysing uncertain conditions and supporting robust decision making under these conditions was available. During the CONFIDENCE project, the existing MCDA tool was improved and enhanced to deal with these requirements. For providing solid and reliable decision support for such a situation as a radiological emergency, the evaluation of decision-support tools by the stakeholders and their feedback is important, especially when considering their heterogeneous background caused by e.g. living in different countries. Therefore, several stakeholder panels in different countries were organized to include the end users’ opinions and to assure the usability of the final tool.
Highlights
The CONFIDENCE project (COping with uNcertainties For Improved modelling and DEcision making in Nuclear emergenCiEs) used a multidisciplinary approach dealing with many aspects of the radiological situation following the accidental release up to the decision making to evaluate, select and implement remediation strategies, including the viewpoints of stakeholders (Raskob et al, 2020)
While Multi Criteria Decision Analysis (MCDA) in general was available for use in the radiological crisis management community, no method of analysing uncertain conditions and supporting robust decision making under these conditions was available
The MCDA tool improved with uncertainty modelling capabilities was presented in two national stakeholder panels (Slovak Republic and the Netherlands) and within the CONFIDENCE training course and dissemination workshop
Summary
The CONFIDENCE project (COping with uNcertainties For Improved modelling and DEcision making in Nuclear emergenCiEs) used a multidisciplinary approach dealing with many aspects of the radiological situation following the accidental release up to the decision making to evaluate, select and implement remediation strategies, including the viewpoints of stakeholders (Raskob et al, 2020). The decision aiding tool MCDA (Müller et al, 2020) is an extension to the JRODOS decision support system (DSS) using the results from the late phase models ERMIN (Charnock, 2016) and AgriCP (Charnock et al, 2018; Charnock et al, 2020) to support the decision making team in selecting the best possible remediation strategy in a given situation. MCDA is recognised as a useful tool for transparent and coherent decision making among multiple alternatives for actions (strategies), for complex situations, supporting groups of stakeholders (e.g. decision makers) (Hiete et al, 2010). The engagement of stakeholders in the development of countermeasure strategies, supporting a transition to long-term
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