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面向应急决策的模型集成方法研究 被引量:4

Study on Model Integration for Complex Emergency Decision-making
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摘要 突发事件应急管理面临多并发决策任务,相应的决策建模分析要求多种分布式、异构模型的集成。本文针对突发事件应急管理,提出了本体驱动的多模型集成框架。该框架构建了四个基本层,即情景空间层、任务网络层、模型组合层及数据接口层,并采用统一的概念和本体建模语言,分别建立了任务本体、模型本体和数据本体,实现任务知识、异构模型及数据资源的一般化表达与管理。该框架还设计语义推理引擎,驱动了相邻层之间的沟通与合作。通过层级间的交互推理,系统能够语义地分析决策需求,自动选择并组合功能与接口一致的模型,从而实现多模型集成建模。应用示例结果证明了该方法能够为突发事件应急管理的集成建模与仿真提供有效的决策支持。 Since the response of complex emergencies depends on the comprehensive prediction and evaluation, there is increasing attempts to compose multi across-domain models to find details for decision making. In this paper, a four-layer framework is proposed to support the model integration. In this framework, the universal communication between four layers respectively named as Scenario space, Task network, Model composition and Data interface is driven by three engines. With the help of ontology model of task, model and data, the system can semantically search, select and compose models. This framework has capability of supporting model integration dynamically. The results of integrated simulation case indicate that this approach can provide effective support for complex emergency decision making.
出处 《管理评论》 CSSCI 北大核心 2016年第8期6-16,共11页 Management Review
基金 国家自然科学基金项目(91324022 91224008 91024032 70601015 70833003) 国家科技支撑计划(2015BAK12B01)
关键词 应急决策 突发事件 本体 模型集成 complex decision making, complex emergency, ontology, model composition
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参考文献29

  • 1Dixit V.,Montz T.,Wolshon B.Validation Techniques for Region-level Microscopic Mass Evacuation Traffic Simulations[J].Transportation Research Record,2011(2229):66-74. 被引量:1
  • 2Asghar S.,Alahakoon D.,Churilov L.A Comprehensive Conceptual Model for Disaster Management[J].Journal of Humanitarian Assistance,2006,1360(0222):1-15. 被引量:1
  • 3Othman S.H.,Beydoun G.Model-driven Disaster Management[J].Information&Management,2013,50(5):218-228. 被引量:1
  • 4Kelly C.Simplifying Disasters:Developing a Model for Complex Non-linear Events[J].Australian Journal of Emergency Management,1999,14(1):25-27. 被引量:1
  • 5Blanning R.W.Model Management Systems:An Overview[J].Decision Support Systems,1993,9(1):9-18. 被引量:1
  • 6Farnaghi M.,Mansourian A.Disaster Planning Using Automated Composition of Semantic OGC Web Services:A Case Study in Sheltering[J].Computers,Environment and Urban Systems,2013,41:204-218. 被引量:1
  • 7Fellendorf M.VISSIM:A Microscopic Simulation Tool to Evaluate Actuated Signal Control Including Bus Priority[C].Proceeding of the 64th Institute of Transportation Engineers Annual Meeting,1994. 被引量:1
  • 8Houston S.H,Shaffer W.A,Powell M.D,et al.Comparisons of HRD and SLOSH Surface Wind Fields in Hurricanes Implications for Storm Surge Modeling[J].Weather and Forecasting,1999,14(5):671-686. 被引量:1
  • 9Jarvinen B.R.,Lawrence M.B.An Evaluation of The SLOSH Storm Surge Model[J].Bulletin of the American Meteorological Society,1985,66(11):1408-1411. 被引量:1
  • 10Chang A.M.,Holsapple C.W.,Whinston A.B.Model Management Issues and Directions[J].Decision Support Systems,1993,9(1):19-37. 被引量:1

二级参考文献31

  • 1肖艳玲,刘晓晶,刘剑波.基于熵值法的员工绩效指标权重确定方法[J].大庆石油学院学报,2005,29(1):107-109. 被引量:40
  • 2罗忠良,王克运,康仁科,郭东明.基于案例推理系统中案例检索算法的探索[J].计算机工程与应用,2005,41(25):230-232. 被引量:28
  • 3李恒训,张华平,秦鹏,等.基于主题词的网络热点话题发现[C].见:第五届全国信息检索学术会议论文集.上海:中国中文信息学会,2009:134-143. 被引量:5
  • 4Fang L, Peress J. Media coverage and the cross-section of stock returns[J]. Journal of Finance, 2009, 64(5): 2023-2052. 被引量:1
  • 5Tetlock P C. Giving content to investor sentiment: The role of media in the stock market[J]. Journal of Finance, 2007, 62(3): 1139-1168. 被引量:1
  • 6Cohen A, Nachmias R. What can instructors and policy makers learn about Web-supported learning through Web-usage mining[J]. Internet and Higher Education, 2011, 14(2): 67-76. 被引量:1
  • 7Adam N, Stiles R, Zimdars A, et al. Consequence analysis of complex events on critical U.S. infrastructure[J]. Communications of the ACM, 2013, 56(6): 83-91. 被引量:1
  • 8Fogli D, Guida G. Knowledge-centered design of decision support systems for emergency management [J]. Decision Support Systems, 2013, 55(1): 336-347. 被引量:1
  • 9Oh O, Agrawal M, Rao H R. Community intelligence and social media services: A rumor theoretic analysis of Tweets during social crises[J]. MIS Quarterly, 2013, 37(2): 407-426. 被引量:1
  • 10Naveed N, Gottron T, Kunegis J, et al. Bad news travel fast: A content-based analysis of interestingness on Twitter[C]// Proceedings of the 3rd International Web Science Conference, 2011: 1-7. 被引量:1

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