非常规突发事件应急决策方法研究
发布时间：2018-12-24 10:51
【摘要】：为深入研究非常规突发事件应急决策方法,提高对非常规突发事件的应对能力,调查研究基于应急预案、范例推理和智能规划等3种非常规突发事件的应急决策方法,对比分析这3种方法的特点。研究发现:这3种方法都可以在一定程度上为非常规突发事件提供辅助决策,但是基于智能规划的应急决策方法更适于非常规突发事件复杂的决策环境,有较大发展潜力。然后针对该方法,提出一些需要深入研究的开放性课题。
[Abstract]:In order to deeply study the emergency decision methods of unconventional emergencies and improve the ability to respond to unconventional emergencies, three kinds of emergency decision methods based on emergency plan, case-based reasoning and intelligent planning are investigated and studied. The characteristics of these three methods are compared and analyzed. It is found that these three methods can provide assistant decision-making for unconventional emergencies to a certain extent, but the emergency decision methods based on intelligent planning are more suitable for complex decision-making environments of unconventional emergencies and have great potential for development. Then, some open topics which need to be studied deeply are put forward for this method.
【作者单位】： 华中科技大学系统工程研究所;华中科技大学图像信息处理与智能控制教育部重点实验室;
【基金】：国家自然科学基金重大研究计划重点支持项目(90924301);国家自然科学基金重大研究计划集成平台项目(91024032) 科技部“十一五”国家科技支撑计划课题专题(2008BAB29B07-2) 中央高校基本科研业务费专项资金资助(2011TS139)
【分类号】：X4;C934
本文编号：2390529
[Abstract]:In order to deeply study the emergency decision methods of unconventional emergencies and improve the ability to respond to unconventional emergencies, three kinds of emergency decision methods based on emergency plan, case-based reasoning and intelligent planning are investigated and studied. The characteristics of these three methods are compared and analyzed. It is found that these three methods can provide assistant decision-making for unconventional emergencies to a certain extent, but the emergency decision methods based on intelligent planning are more suitable for complex decision-making environments of unconventional emergencies and have great potential for development. Then, some open topics which need to be studied deeply are put forward for this method.
【作者单位】： 华中科技大学系统工程研究所;华中科技大学图像信息处理与智能控制教育部重点实验室;
【基金】：国家自然科学基金重大研究计划重点支持项目(90924301);国家自然科学基金重大研究计划集成平台项目(91024032) 科技部“十一五”国家科技支撑计划课题专题(2008BAB29B07-2) 中央高校基本科研业务费专项资金资助(2011TS139)
【分类号】：X4;C934
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