A decision support approach for group decision making under risk and uncertainty

Jiawei Li, Graham Kendall, Simon Pollard, Emma Soane, Gareth Davies, Ruibin Bai

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010
PublisherIEEE Computer Society
Pages1856-1860
Number of pages5
ISBN (Print)9781424473311
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010 - Harbin, China
Duration: 9 Jan 201010 Jan 2010

Publication series

Name2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010
Volume3

Conference

Conference2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010
Country/TerritoryChina
CityHarbin
Period9/01/1010/01/10

Keywords

  • Cost-benefit analysis
  • Decision support approach
  • Evidence support logic
  • Expected utility
  • Group decision making
  • Risk
  • Uncertainty

ASJC Scopus subject areas

  • Management Information Systems
  • Strategy and Management
  • Control and Systems Engineering

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