Multiobjective Decision Making for Risk Management in Large-Scale Systems

根据规模和复杂性的增加，与风险管理相关的问题解决与群体中个人价值观的冲突有关。因此，为了达到一个公平合理的目标，我们需要关注多目标下群体决策的冲突问题。在系统辅助（GDSS）方法下，我们考虑了一个群体决策支持系统。首先，假设(1)每个群体对决策有同等的影响，(2)每个目标都以数学函数的形式给出。利用层次分析法揭示了各群体的价值体系，证明了该过程的主要框架可以简化为多目标优化问题的交互解。正如风险沟通的范例所知，共同拥有的方形信息和妥协精神是解决群体冲突的必要条件。因此，透过放宽上述处所，政府支援计划得以延长。我们应用了通用算法（GA）来解决由此产生的离散优化问题，并证明了它是有效的，并且在人机交互过程中只施加轻微的负载。通过应用于一个放射性废物管理系统的数值实验，我们已经表明，每个GDSS都非常有希望处理这里所涉及的各自的问题解决方案。

According to increase both in scale and complexity, problem-solvings associated with risk management are related to conflicts referring to individual sense of value among the groups. To attain at a square and rational goal, therefore, we need concern with the conflicts in terms of group decision making under multiobjectives.In the aid of systems (GDSS) approach, we have considered a group decision support system. First the GDSS has been developed assuming (1) each group has equal effect on decision and (2) every objective is given as mathematical function. Using the analytic hierarchy process (AHP) to reveal value system of each group, we have shown the major frame of the procedure can be reduced as an interactive solution of the multi-objective optimization problem.As known in the paradigm of risk communication, jointly owned square information and the spirit of compromise are cited essential for the conflict resolution among the groups.Then the GDSS has been extended by relaxing the above premises. We have applied the generic algorithm (GA) to solve the resulting discrete optimization problems, and shown it is effective and imposes only mild loads in the man-machine interaction process.Through numerical experiments applied to a rad-waste management system, we have shown each GDSS is very promising to deal with respective problem-solvings concerned here.