DocumentCode :
2321304
Title :
A decision support approach for group decision making under risk and uncertainty
Author :
Li, Jiawei ; Kendall, Graham ; Pollard, Simon ; Soane, Emma ; Davies, Gareth ; Bai, Ruibin
Author_Institution :
Sch. of Comput. Sci., Univ. of Nottingham, Nottingham, UK
Volume :
3
fYear :
2010
fDate :
9-10 Jan. 2010
Firstpage :
1856
Lastpage :
1860
Abstract :
Cost-benefit analysis has long been used in decision making about public health and security. Frequently, risk and uncertainty are involved, and benefit and cost are not evenly shared by all stakeholders in the activities where public welfare is concerned. The result of cost-benefit analysis may be controversial because it does not consider the conflict of interest among the stakeholders. In this paper, we propose a decision support approach that allows individual agents to make their own evaluations of benefit, cost and risk over available alternatives. Individual beliefs with respect to the alternatives will then be aggregated to form a group decision. This approach can also be used to integrate the cost benefit analysis into risk assessment. An application to this group decision making, considering the disposal of dead animals, is given.
Keywords :
cost-benefit analysis; decision making; national security; public administration; risk analysis; uncertain systems; cost-benefit analysis; decision support approach; group decision making; public health; public security; public welfare; risk assessment; uncertainty; Animals; Computer science; Cost benefit analysis; Decision making; Environmental economics; Logic; Public healthcare; Risk management; Uncertainty; Utility theory; Cost-benefit analysis; Decision support approach; Evidence support logic; Expected utility; Group decision making; Uncertainty; risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
Type :
conf
DOI :
10.1109/ICLSIM.2010.5461315
Filename :
5461315
Link To Document :
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