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浙江大学学报(理学版)  2016, Vol. 43 Issue (5): 560-566    DOI: 10.3785/j.issn.1008-9497.2016.05.012
数学与计算机科学     
应急决策中基于问题与解关系的案例调整方法
郑晶1,2, 王应明1, 陈圣群2
1. 福州大学 决策科学研究所, 福建 福州 350116;
2. 福建江夏学院 电子信息科学学院, 福建 福州 350108
A case adaptation method based on problem-solution relation for emergency decision making
ZHENG Jing1,2, WANG Yingming1, CHEN Shengqun2
1. Decision Sciences Institute, Fuzhou University, Fuzhou 350116, China;
2. College of Electronics and Information Science, Fujian Jiangxia University, Fuzhou 350108, China
 全文: PDF(836 KB)  
摘要: 针对应急方案调整问题,提出了一种基于案例问题与解决方案之间关系的决策分析方法.通过混合相似度法计算目标案例与历史案例间的综合相似度,并将其融入历史案例的问题与解决方案属性中,进而根据向量余弦夹角定义计算问题与解决方案之间的关系.应急方案调整除需考虑问题与解决方案之间的夹角关系,还需考虑问题与解决方案的模的大小.最后,用算例说明该应急案例调整方法的有效和实用性.
关键词: 案例推理应急决策案例调整向量余弦夹角    
Abstract: This paper proposes a decision analysis method based on the problem-solution relation of similar cases to support the emergency alternative adaptation. The overall similarity between the target case and historical cases can be calculated by adopting a hybrid approach, it is then integrated into the attributes of historical cases' problem and solution, relation of historical cases', we can estimate the relation between the problem and solution based on their cosine angle. The adaptation of the emergency alternative should take accout not only on the angle relation between the problem and the solution, but also the size of the module. Finally, a numerical example is provided to illustrate the feasibility and validity of the proposed emergency case adaptation method based on the problem-solution relation.
Key words: case-based reasoning    emergency decision making    case adaptation    cosine angle
收稿日期: 2015-08-31 出版日期: 2016-05-01
CLC:  C931  
基金资助: 国家杰出青年科学基金(70925004);福建省教育厅科技项目(JB14122);福建江夏学院青年科研人才培育基金项目(JXZ2014009);福建省自然科学基金资助项目(2015J01279).
通讯作者: 王应明,ORCID:http://orcid.org/0000-0002-5229-0914,E-mail:msymwang@hotmail.com.     E-mail: msymwang@hotmail.com
作者简介: 郑晶(1980-),ORCID:http://orcid.org/0000-0002-2785-0342,女,博士,副教授,主要从事决策理论与方法研究.
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引用本文:

郑晶, 王应明, 陈圣群. 应急决策中基于问题与解关系的案例调整方法[J]. 浙江大学学报(理学版), 2016, 43(5): 560-566.

ZHENG Jing, WANG Yingming, CHEN Shengqun. A case adaptation method based on problem-solution relation for emergency decision making. Journal of ZheJIang University(Science Edition), 2016, 43(5): 560-566.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2016.05.012        https://www.zjujournals.com/sci/CN/Y2016/V43/I5/560

[1] LIU Y, FAN Z P, ZHANG Y. Risk decision analysis in emergency response: A method based on cumulative prospect theory[J]. Computers & Operations Research,2014,42:75-82.
[2] LIU Y, FAN Z P, YUAN Y, et al. A FTA-based method for risk decision-making in emergency response[J]. Computers & Operations Research,2014,42:49-57.
[3] YANG J, XU C. Emergency decision engineering model based on sequential games[J]. Systems Engineering Procedia,2012(5):276-282.
[4] YU L, LAI K K. A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support[J]. Decision Support Systems,2011,51(2):307-315.
[5] FAN Z P, LI Y H, WANG X, et al. Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion[J]. Expert Systems with Applications,2014,41(5):2526-2534.
[6] 陈兴,王勇,吴凌云,等.多阶段多目标多部门应急决策模型[J].系统工程理论与实践,2010(11):1977-1985. CHEN Xing, WANG Yong, WU Lingyun, et al. Emergency decision model with multiple stages, multiple objectives, and multidivisional cooperation[J]. System Engineering-Theory & Practice,2010,30(11):1977-1985.
[7] LIAO Z, MAO X, HANNAM P M, et al. Adaptation methodology of CBR for environmental emergency preparedness system based on an improved genetic algorithm[J]. Expert Systems with Applications,2012,39(8):7029-7040.
[8] HUANG C, SHEN S, HUANG Q. An approach of information processing for CBR in emergency management engineering[J]. Systems Engineering Procedia,2012(5):185-190.
[9] LIU W, HU G, LI J. Emergency resources demand prediction using case-based reasoning[J]. Safety Science,2012,50(3):530-534.
[10] QI J, HU J, PENG Y. A new adaptation method based on adaptability under k-nearest neighbors for case adaptation in case-based design[J]. Expert Systems with Applications,2012,39(7):6485-6502.
[11] HU J, QI J, PENG Y. New CBR adaptation method combining with problem-solution relational analysis for mechanical design[J]. Computers in Industry,2015,66:41-51.
[12] FUCHS B, LIEBER J, MILLE A, et al. Differential adaptation: An operational approach to adaptation for solving numerical problems with CBR[J]. Knowledge-Based Systems,2014,68:103-114.
[13] JUNG S, LIM T, KIM D. Integrating radial basis function networks with case-based reasoning for product design[J]. Expert Systems with Applications,2009,36(3):5695-5701.
[14] SHARIFI M, NAGHIBZADEH M, ROUHANI M. Adaptive case-based reasoning using support vector regression[C]//Advance Computing Conference (IACC), 2013 IEEE 3rd International. Ghaziabad: IEEE,2013:1006-1010.
[15] LI H, SUN J. Majority voting combination of multiple case-based reasoning for financial distress prediction[J]. Expert Systems with Applications,2009,36(3):4363-4373.
[16] ZHANG S. Nearest neighbor selection for iteratively KNN imputation[J]. Journal of Systems and Software,2012,85(11):2541-2552.
[17] LI H, SUN J. Gaussian case-based reasoning for business failure prediction with empirical data in China[J]. Information Sciences,2009,179(1):89-108.
[18] LI H, SUN J, SUN B L. Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors[J]. Expert Systems with Applications,2009,36(1):643-659.
[19] LIU H, CHEN W, KANG Z, et al. Fuzzy multiple attribute decision making for evaluating aggregate risk in green manufacturing[J]. Tsinghua Science & Technology,2005,10(5):627-632.
[20] ZHAO K, YU X. A case based reasoning approach on supplier selection in petroleum enterprises[J]. Expert Systems with Applications,2011,38(6):6839-6847.
[21] GU D X, LIANG C Y, BICHINDARITZ I, et al. A case-based knowledge system for safety evaluation decision making of thermal power plants[J]. Knowledge-Based Systems,2012,26:185-195.
[22] YAN A, SHAO H, GUO Z. Weight optimization for case-based reasoning using membrane computing[J].Information Sciences,2014,287:109-120.
[23] 付永贵.基于云计算的余弦向量
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