|本期目录/Table of Contents|

[1]邵荃,翁文国,袁宏永.基于动态信任网络的突发事件模型库系统的研究[J].中国安全生产科学技术,2009,5(3):19-24.
　SHAO Quan,WENG Wen guo,YUAN Hong yong.Research on emergency model base systen based on dynamic belief network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2009,5(3):19-24.
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基于动态信任网络的突发事件模型库系统的研究()
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
5
期数:
2009年3
页码:
19-24
栏目:
出版日期:
2009-06-30

文章信息/Info

Title:
Research on emergency model base systen based on dynamic belief network
文章编号:
1673-193X(2009)-03-0019-06
作者:
邵荃; 翁文国; 袁宏永
清华大学工程物理系公共安全研究中心
Author(s):
SHAO Quan;  WENG Wenguo;  YUAN Hongyong
Center for Public Safety Research, Department of Engineering Physics
关键词:
突发事件; 应急模型库; 模型组合; 智能决策系统
Keywords:
emergency event;  emergency model base;  model integration;  intelligent decision support system
分类号:
X924.2
DOI:
-
文献标志码:
A
摘要:
根据突发事件应急决策的需求，本文结合模型网络法和基于信任筛选器的模型组合方法，提出了动态信任网络的模型组合方法，实现了根据不同的突发事件和不同环境选择适合的模型进行模型组合。在运用动态信任网络模型组合方法的基础上，本文应用Agent技术提出了一种智能化较高的突发事件模型库，不仅增强了模型库的适应性和模型库的自学习功能，而且还可以对耦合灾害和复杂事件链的应急处置提供良好的模型决策支持功能。
Abstract:
According to the needs of decisionmaking for emergency events, a dynamic belief network model integration method which combined the model network and filter spaces method was presented in this paper. This method can select suitable models to achieve model integration for different emergency decisionmaking objectives. Based on this model integration method and agent technology, architecture of emergency model base system was presented, which not only improves the applicability and selflearn function of the emergency model base system, but also provides well decisionmaking for coupling disasters and event chain.

参考文献/References:

［1］中华人民共和国主席令第六十九号.中华人民共和国突发事件应对法［EB/OL］. http://www.gov.cn/ziliao/flfg/200708/30/content_732593.htm,20070830.Peoples Republic of China law to deal with unexpected events.［EB/OL］. http://www.gov.cn/ziliao/flfg/200708/30/content_732593.htm,20070830.［2］QI Changsong, SUN Jigui. Model net:A representation of the static structure of modelbase［J］. International Journal of Pattern Recognition and Artificial Intelligence,2007,21(4):791～807.［3］Kaushal Chari. Model Composition Using Filter Spaces［J］. Information Systems Research,2002,13(1):15～35.［4］许向东,张全寿.MBMS中模型表示方法的研究［J］.决策与决策支持系统，1997，7(2)：17～22.XU Xiangdong, ZHANG Quanshou. The study of model representation methods in MBMS［J］. Journal of Decision Making and Decision Support Systems，1997,7(2):17～22.（in Chinese）［5］黄可鸣.专家系统导论［M］.南京:东南大学出版社,1988.Huang KeMin. Introduction of expert system［M］. NanJin:Southeast University Press,1988.［6］Kurt Fedra, Lothar Winkelbauer. A Hybrid Expert System, GIS, and Simulation Modeling for Environmental and Technology Risk Management［J］. ComputerAided Civil and Infrastructure Engineering,2002,17:131～146.［7］Sohail Asghar, Damminda Alahakoon, Leonid Churilo. A Hybrid Decision Support System Model for Disaster Management［C］. Fourth International Conference on Hybrid Intelligent Systems,5～8 Dec.2004,Page(s):372～377［8］Marc Bonazountas, Despina Kallidromitou. A decision support system for managing forest fire casualties［J］. Journal of Environmental Management,2007,84:412～418.第5卷第3期2009年6月中 国 安 全 生 产 科 学 技 术Journal of Safety Science and TechnologyVol.5 No.3Jun. 2009文章编号：1673-193X(2009)-03-0025-05

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备注/Memo

备注/Memo:
收稿日期：20090420作者简介：邵荃，博士研究生
更新日期/Last Update: