1.1
1
xml
info:srw/schema/1/mods-v3.2
Approaches to visualisation of uncertainties to decision makers in an operational decision support system
Wolfgang Raskob
author
Florian Gering
author
Valentin Bertsch
author
2009
Information Systems for Crisis Response and Management, ISCRAM
Gothenburg
English
Decision making in case of any emergency is associated with uncertainty of input data, model data and changing preferences in the decision making process. Uncertainty handling was from the beginning an integral part of the decision support system RODOS for the off-site emergency management following nuclear or radiological emergencies. What is missing so far is the visualisation of the uncertainties in the results of the model calculations. In this paper we present the first attempt to visualise uncertain information in the early and late phase of the decision making process. For the early phase, the area of sheltering was selected as example. For the later phase, the results of the evaluation subsystem of RODOS were selected being used for the analysis of remediation measures such as agricultural management options. Both attempts are still under discussion but the presentation of the early phase uncertainty will be realised in the next version.
Artificial intelligence
Decision support systems
Information systems
Risk management
Visualization
Agricultural management
Decision making process
Operational decision support
Radiological emergency
Rodos
Uncertain informations
Uncertainties
Uncertainty handling
Decision making
exported from refbase (http://idl.iscram.org/show.php?record=870), last updated on Sat, 08 Aug 2015 13:05:45 +0200
text
http://idl.iscram.org/files/raskob/2009/870_Raskob_etal2009.pdf
WolfgangRaskob_etal2009
ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives
ISCRAM 2009
J. Landgren
S
Jul
editor
6th International ISCRAM Conference on Information Systems for Crisis Response and Management
2009
Information Systems for Crisis Response and Management, ISCRAM
Gothenburg
conference publication
9789163347153
2411-3387
1