权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Multiobjective Decision Making for Risk Management in Large-Scale Systems

大型系统风险管理的多目标决策

基本信息

批准号：
03832026
负责人：
SHIMIZU Yoshiaki
金额：
$ 0.83万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1991
资助国家：
日本
起止时间：
1991 至 1992
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-03832026/
关键词：
Group decision support system Multiobjective optimization Conflict resolution Analytic hiearachy process Generic algorithm Risk management Risk communication Radio-active waste management グル-プ意思決定

项目摘要

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.

随着规模和复杂性的增加，与风险管理相关的问题解决与群体之间个人价值感的冲突相关。因此，为了达到一个公正合理的目标，我们需要关注多目标下群体决策的冲突。在系统辅助（GDSS）方法中，我们考虑了群体决策支持系统。首先，GDSS 的开发假设 (1) 每个组对决策的影响相同，(2) 每个目标都以数学函数的形式给出。使用层次分析法（AHP）揭示每个群体的价值体系，我们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式解决方案。正如风险沟通范式中所知道的那样，共同拥有的方形信息和妥协精神对于解决群体之间的冲突至关重要。然后通过放宽上述前提对GDSS进行了扩展。我们应用通用算法（GA）来解决由此产生的离散优化问题，并证明它是有效的，并且在人机交互过程中仅施加轻微的负载。通过应用于辐射废物管理系统的数值实验，我们表明每个 GDSS 都非常有希望处理此处涉及的各自问题的解决。