Optimization of the nuclear accident emergency rescue plan selection based on a multiple-attribute decision

Abstract

An appropriate rescue plan can reduce the consequences and harm of a nuclear accident. Based on the combination of multi-attribute decision-making and cost-benefit analysis, alternative rescue schemes are ranked according to the rescue effect of a nuclear accident by the approximate ideal solution of multi-attribute decision-making theory. To reduce the cost of rescue and the radiation hazard of rescuers, the cost-benefit analysis method is used to select the optimal rescue plan. The model is applied to the actual nuclear accident rescue scheme selection, and the results show that the rescue scheme selected by the model based on multi-attribute decision-making not only has a better rescue effect but is also relatively low cost.

Keywords

• multi-attribute decision
• cost-benefit analysis
• nuclear accident emergency
• alternative ranking