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浙江大学学报(理学版)  2017, Vol. 44 Issue (3): 314-321    DOI: 10.3785/j.issn.1008-9497.2017.03.012
数学与计算机科学     
考虑多角度效用的应急案例调整方法
张恺1, 王应明2
1. 福建船政交通职业学院 信息工程系, 福建 福州 350007;
2. 福州大学 决策科学研究所, 福建 福州 350116
Emergency alternative adaptation method with considering multi-angle utility
ZHANG Kai1, WANG Yingming2
1. Department of Information Engineering, Fujian Chuanzheng Communications College, Fuzhou 350007, China;
2. Decision Sciences Institute, Fuzhou University, Fuzhou 350116, China
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摘要: 针对提高应急方案调整精确度的问题,提出了一种基于多角度的应急案例调整方法.基于3种相似度计算方法得到案例的综合相似度,通过灰色关联度计算方法得到问题与方案间的案例关联度;并从综合相似度、灰关联度以及案例实施效果三方面确定相似历史案例集及其权重;再运用证据推理对相似历史案例的方案进行集结,得到目标案例的调整方案.最后,通过算例说明方法的可行性和有效性.
关键词: 突发事件案例调整证据推理混合权重    
Abstract: To improve the pertinence of the emergency plan, a method for plan adaptation based on those of similar emergency cases from multiple views is proposed. The comprehensive similarity between the current case and a candidate is calculated by three similarity computation methods while the case correlation degree is evaluated by the grey correlation method. Then, the similar case set and the associated weights are determined according to the comprehensive similarity, grey correlation degree and the case implementation effect of each candidate. Finally, the evidence reasoning is adopted to integrate the emergency plans of these similar cases to get the adaptive plan. A case is given to illustrate the feasibility and validity of the proposed method.
Key words: emergency    case adaptation    evidence reasoning    hybrid weight
收稿日期: 2016-10-16 出版日期: 2017-03-01
CLC:  TP181  
基金资助: 国家杰出青年科学基金资助(70925004);福建省交通运输厅科技发展项目(201319).
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: 张恺(1979-),ORCID:http://orcid.org/0000-0001-8755-3326,男,硕士,副教授,主要从事智能决策技术、案例推理研究.
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引用本文:

张恺, 王应明. 考虑多角度效用的应急案例调整方法[J]. 浙江大学学报(理学版), 2017, 44(3): 314-321.

ZHANG Kai, WANG Yingming. Emergency alternative adaptation method with considering multi-angle utility. Journal of Zhejiang University (Science Edition), 2017, 44(3): 314-321.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2017.03.012        https://www.zjujournals.com/sci/CN/Y2017/V44/I3/314

[1] FAN Z, LI Y, 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.
[2] 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.
[3] FAN Z, LI Y, ZHANG Y, et al. Generating project risk response strategies based on CBR: A case study[J]. Expert Systems with Applications,2015,42(6):2870-2883.
[4] ZHANG B, LI X, WANG S, et al. A novel case adaptation method based on an improved integrated genetic algorithm for power grid wind disaster emergencies[J]. Expert Systems with Applications,2015,42(21):7812-7824.
[5] SHEPPERD M, SCHOFIELD C. Estimating software project effort using analogies[J]. IEEE Transactions on Software Engineering,1997, 23(11):736-743.
[6] ANGELIS L, STAMELOS I. A simulation tool for efficient analogy based cost estimation[J]. Empirical Software Engineering,2000,5(1):35-68.
[7] KWONG C K, SMITH G F, LAU W S, et al. Application of case based reasoning injection molding[J]. Journal of Materials Processing Technology,1997,63(1):463-467.
[8] JI S, PARK M, LEE H, et al. Case adaptation method of case-based reasoning for construction cost estimation in Korea[J]. Journal of Construction Engineering and Management,2012,138(1):43-52.
[9] QI J, HU J, PENG Y, et al. Incorporating adaptability-related knowledge into support vector machine for case-based design adaptation[J]. Engineering Applications of Artificial Intelligence,2015,37:170-180.
[10] HU J, QI J, PENG Y, et al. New CBR adaptation method combining with problem-solution relational analysis for mechanical design[J]. Computers in Industry,2015,66:41-51.
[11] BUTDEE S. Adaptive aluminum extrusion die design using case-based reasoning and artificial neural networks[J].Advanced Materials Research,2012,383:6747-6754.
[12] QI J, HU J, PENG Y, et al. 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.
[13] XIE X, LIN L, ZHONG S, et al. Handling missing values and unmatched features in a CBR system for hydro-generator design[J]. Computer-Aided Design,2013,45(6):963-976.
[14] 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.
[15] 邓聚龙.灰色控制系统[J].华中工学院学报,1982,10(3):9-18. DENG J L. Grey control system[J]. The Journal of Huazhong University of Science and Technology,1982,10(3):9-18.
[16] 李永海,樊治平,李铭洋.解决广义不确定型决策问题的案例决策方法[J].系统工程学报,2014,29(1):21-29. LI Y H, FAN Z P, LI M Y. Case-based decision analysis method for general uncertain decision making problem[J]. Journal of Systems Engineering,2014,29(1):21-29.
[17] WANG Y M, YANG J B, XU D L, et al. The evidential reasoning approach for multiple attribute decision analysis using interval belief degree[J]. European Journal of Operational Research,2006,175(1):35-66.
[18] LI S, HO H. Predicting financial activity with evolutionary fuzzy case-Based reasoning[J]. Expert Systems with Applications,2009,36(1):411-422.
[19] YU W, LIU Y. Hybridization of CBR and numeric soft computing techniques for mining of scarce construction databases[J]. Automation in Construction,2006,15(1):33-46.
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