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 language | English |
|---|---|
| Title of host publication | 2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010 |
| Publisher | IEEE Computer Society |
| Pages | 1856-1860 |
| Number of pages | 5 |
| ISBN (Print) | 9781424473311 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010 - Harbin, China Duration: 9 Jan 2010 → 10 Jan 2010 |
Publication series
| Name | 2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010 |
|---|---|
| Volume | 3 |
Conference
| Conference | 2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010 |
|---|---|
| Country/Territory | China |
| City | Harbin |
| Period | 9/01/10 → 10/01/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Free 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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