Abstract:Based on comparison between classical decision-making issues and crisis decision-making issues, specified constrain conditions of crisis decision-making are analyzed, which behaves more like a complex system. In this paper, a decision-making method for complex crisis is developed, which consists of three principles, a cross-simulation model, and a decision-making model based on cross-simulation. The three principles include the dynamic anchoring principle, the effective non-optimal principle, and the bottom line principle. The three principles aim at three major difficulties of crisis decision-making, which are no-fixed objective, lack of evaluation method, and hard to adjust. The cross-simulation model contributes to accuracy and reliability of simulation with integration of data and models. The decision-making model based on cross-simulation provides effective decision support for complex crisis. The method developed in this paper may be applied to more complex issues not limited to crisis.
王刚桥, 刘奕, 杨盼, 杨锐, 张辉. 面向突发事件的复杂系统应急决策方法研究[J]. 系统工程理论与实践, 2015, 35(10): 2449-2458.
WANG Gang-qiao, LIU Yi, YANG Pan, YANG Rui, ZHANG Hui. Study on decision-making method for complex crisis. Systems Engineering - Theory & Practice, 2015, 35(10): 2449-2458.
[1] 张辉, 刘奕. 基于"情景-应对"的国家应急平台体系基础科学问题与集成平台[J]. 系统工程理论与实践, 2012, 32(5): 947-953.Zhang Hui, Liu Yi. Key problems on fundamental science and technology integration in "scenario-response" based national emergency response platform system[J]. Systems Engineering - Theory & Practice, 2012, 32(5): 947-953. [2] 史培军. 灾害系统复杂性与综合防灾减灾[J].中国减灾, 2014(11): 20-21.Shi Peijun. Disaster system complexity and comprehensive disaster prevention and mitigation[J]. Disaster Reduction in China, 2014(11): 20-21. [3] 王飞跃. 关于复杂系统研究的计算理论与方法[J].中国基础科学, 2004, 6(5): 3-10. Wang Feiyue. Research on calculated theory and method of complex system[J]. China Basic Science, 2004, 6(5): 3-10. [4] Kiker G A, Bridges T S, Varghese A, et al. Application of multicriteria decision analysis in environmental decision making[J]. Integrated Environmental Assessment and Management, 2005, 1(2): 95-108. [5] Xu Z X, Xi S R, Qu J Y. Multi-attribute analysis of nuclear reactor accident emergency decision making[J]. Journal of Tsinghua University, 2008, 48(3): 445-448. [6] Mesmer B L, Bloebaum C L. Incorporation of decision, game, and Bayesian game theory in an emergency evacuation exit decision model[J]. Fire Safety Journal, 2014, 67: 121-134. [7] 裘江南, 王延章, 董磊磊, 等. 基于贝叶斯网络的突发事件预测模型[J]. 系统管理学报, 2011, 20(1): 98-103. Qiu Jiangnan, Wang Yanzhang, Dong Leilei, et al. A model for predicting emergency event based on Bayesian networks[J]. Journal of Systems & Management, 2011, 20(1): 98-103. [8] 李藐, 陈建国, 陈涛, 等. 突发事件的事件链概率模型[J]. 清华大学学报(自然科学版), 2010(8): 1173-1177.Li Miao, Chen Jianguo, Chen Tao, et al. Probability for disaster chains in emergencies[J]. Journal of Tsinghua University (Science and Technology), 2010(8): 1173-1177. [9] Alavi M, Leidner D E. Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues[J]. MIS Quarterly, 2001: 107-136. [10] Sun R. Robust reasoning: Integrating rule-based and similarity-based reasoning[J]. Artificial Intelligence, 1995, 75(2): 241-295. [11] Giarratano J C, Riley G. Expert systems[M]. PWS Publishing Co, 1998. [12] Studer R, Benjamins V R, Fensel D. Knowledge engineering: Principles and methods[J]. Data & Knowledge Engineering, 1998, 25(1): 161-197. [13] Aamodt A, Plaza E. Case-based reasoning: Foundational issues, methodological variations, and system approaches[J]. AI Communications, 1994, 7(1): 39-59. [14] López De Mantaras R, McSherry D, Bridge D, et al. Retrieval, reuse, revision and retention in case-based reasoning[J]. The Knowledge Engineering Review, 2005, 20(3): 215-240. [15] Kolodner J. Case-based reasoning[M]. Morgan Kaufmann, 2014. [16] Kurbalija V, Ivanovic M, Budimac Z. Case-based reasoning framework for generating wide-range decision support systems[C]// Artificial Intelligence and Pattern Recognition, 2008: 273-279. [17] López B. Case-based reasoning: A concise introduction[J]. Synthesis Lectures on Artificial Intelligence and Machine Learning, 2013, 7(1): 1-103. [18] Augsten N, Böhlen M H. Similarity joins in relational database systems[J]. Synthesis Lectures on Data Management, 2013, 5(5): 1-124. [19] Krupka J, Kasparova M, Jirava P. Case-based reasoning model in process of emergency management[M]// Man-Machine Interactions. Springer Berlin Heidelberg, 2009: 77-84. [20] Liu W M, Hu G Y, Li J F. Emergency resources demand prediction using case-based reasoning[J]. Safety Science, 2012, 50(3): 530-534. [21] 王红卫, 祁超, 魏永长, 等. 基于数据的决策方法综述[J]. 自动化学报, 2009, 35(6): 820-833.Wang Hongwei, Qi Chao, Wei Yongchang, et al. Survey of decision making methods based on data[J]. Acta Automatica Sinica, 2009, 35(6): 820-833. [22] Sawant N, Shah H. Big data introduction[M]// Big Data Application Architecture Q & A. A, 2013: 1-8. [23] The fourth paradigm: Data-intensive scientific discovery[M]. Redmond, WA: Microsoft Research, 2009. [24] 李国杰. 大数据研究的科学价值[J]. 中国计算机学会通讯, 2012, 8(9): 8-15.Li Guojie. Scientific value of big data research[J]. Communication of Computer Science in China, 2012, 8(9): 8-15. [25] Ginsberg J, Mohebbi M H, Patel R S, et al. Detecting influenza epidemics using search engine query data[J]. Nature, 2009, 457(7232): 1012-1014. [26] Agrawal R, Srikant R. Fast algorithms for mining association rules[C]// Proceedings of 20th International Conference on Very Large Data Bases, VLDB. 1994, 1215: 487-499. [27] Provost F, Fawcett T. Data science and its relationship to big data and data-driven decision making[J]. Big Data, 2013, 1(1): 51-59. [28] Lazer D, Kennedy R, King G, et al. The parable of Google flu: Traps in big data analysis[J]. Science, 2014, 343: 1203-1205. [29] Kelton W D, Law A M. Simulation modeling and analysis[M]. Boston: McGraw Hill, 2000. [30] 席裕庚, 李德伟, 林姝. 模型预测控制——现状与挑战[J]. 自动化学报, 2013, 39(3): 222-236.Xi Yugeng, Li Dewei, Lin Shu. Predictive and control of model - Present situation and challenge[J]. Acta Automatica Sinica, 2013, 39(3): 222-236. [31] Wang F Y. Parallel system methods for management and control of complex systems[J]. Control and Decision, 2004, 19(5): 485-489. [32] 王飞跃. 平行控制: 数据驱动的计算控制方法[J]. 自动化学报, 2013, 39(4): 293-302. Wang Feiyue. Parallel Control: A method for data-driven and computational control[J]. Acta Automatica Sinica, 2013, 39(4): 293-302. [33] 王飞跃, 邱晓刚, 曾大军, 等. 基于平行系统的非常规突发事件计算实验平台研究[J]. 复杂系统与复杂性科学, 2011, 7(4): 1-10.Wang Feiyue, Qiu Xiaogang, Zeng Dajun, et al. A computational experimental platform for emergency response based on parallel systems[J]. Complex Systems and Complexity Science, 2011, 7(4): 1-10. [34] Rubinstein R Y, Kroese D P. Simulation and the Monte Carlo method[M]. John Wiley & Sons, 2011. [35] Ho Y C, Zhao Q C, Jia Q S. Ordinal optimization: Soft optimization for hard problems[M]. Springer, 2008. [36] Lau T W E, Ho Y C. Universal alignment probabilities and subset selection for ordinal optimization[J]. Journal of Optimization Theory and Applications, 1997, 93(3): 455-489. [37] Chen C H, Lin J, Yücesan E, et al. Simulation budget allocation for further enhancing the efficiency of ordinal optimization[J]. Discrete Event Dynamic Systems, 2000, 10(3): 251-270. [38] Chen C H, He D, Fu M, et al. Efficient simulation budget allocation for selecting an optimal subset[J]. INFORMS Journal on Computing, 2008, 20(4): 579-595. [39] Chen C H. Stochastic simulation optimization: An optimal computing budget allocation[M]. World Scientific, 2010. [40] Xiao H, Lee L H. Simulation optimization using genetic algorithms with optimal computing budget allocation[J]. Simulation, 2014, 90(10): 1146-1157. [41] Brantley M W, Lee L H, Chen C H, et al. An efficient simulation budget allocation method incorporating regression for partitioned domains[J]. Automatica, 2014, 50(5): 1391-1400. [42] Yuan S C, Liu Y, Wang G Q, et al. A cross-simulation method for large-scale traffic evacuation with big data[C]// Proceedings of the Workshop on the 14 International Conference on Web-Age Information Management. Macau, 2014. [43] Othman S H, Beydoun G. Model-driven disaster management[J]. Information & Management, 2013, 50(5): 218-228. [44] Goldratt E M, Cox J, Whitford D. The goal: A process of ongoing improvement[M]. Great Barrington eMA MA: North River Press, 2004. [45] Comes T, Hiete M, Wijngaards N, et al. Integrating scenario-based reasoning into a multi-criteria decision support system for emergency management[M]// Advanced ICTs for Disaster Management and Threat Detection. Collaborative and Distributed Frameworks, 2010: 221-236. [46] Vitoriano B, Rodríguez J T, Tirado G, et al. Intelligent decision-making models for disaster management[J]. Human and Ecological Risk Assessment: An International Journal, 2015, 21(5): 1341-1360.