Risk response for critical infrastructures with multiple interdependent risks: A scenario-based extended CBR approach

doi:10.1016/j.cie.2022.108766

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	Risk response for critical infrastructures with multiple interdependent risks: A scenario-based extended CBR approach
	Shen, Lulu ; Li, Jianping 1; Suo, Weilan2
发表期刊	COMPUTERS & INDUSTRIAL ENGINEERING
关键词	Critical infrastructures (CIs) Risk response Extended case -based reasoning (CBR) Risk interdependent scenario Ontology model
摘要	Critical infrastructures (CIs) are elementary utility systems that maintain the normal society functioning. However, various risks constantly emerge, resulting in widespread human and economic losses. Effective risk response for CIs is a challenging task because of extreme time sensitivity. Especially, multiple risks and interdependencies among them also increase the response difficulties. To promptly generate effective response strategies for CIs with multiple interdependent risks, a scenario-based extended case-based reasoning (CBR) approach by combining the risk network and ontological modeling is proposed in this study. First, a three-stage solution framework is constructed. Subsequently, the historical cases are represented based on a scenario analysis and ontology model. A new case retrieval mechanism including three similarity measures and corresponding algorithm is proposed to precisely retrieve the most similar historical case, and the retrieved response strategies are adapted according to the risk loss severity and risk interdependencies. Furthermore, a case study is conducted to verify the practicability and superiorities of the proposed approach, and the necessity of considering multiple interdependent risks in CI risk response. It is indicated that the study provides a more suitable tool for CI risk response in risk interdependent scenarios, which is beneficial to the effectiveness of risk response in reality.
	2022
卷号	174
ISSN	0360-8352
文章类型	Article
DOI	10.1016/j.cie.2022.108766
关键词[WOS]	CASE REPRESENTATION ; GENETIC ALGORITHM ; RESILIENCE ; OPTIMIZATION ; RESTORATION ; STRATEGIES ; FRAMEWORK
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号	WOS:000899939200006
引用统计
文献类型	期刊论文
条目标识符	http://ir.casisd.cn/handle/190111/12027
专题	系统分析与管理研究所
作者单位	1.Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China 2.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Shen, Lulu,Li, Jianping,Suo, Weilan. Risk response for critical infrastructures with multiple interdependent risks: A scenario-based extended CBR approach[J]. COMPUTERS & INDUSTRIAL ENGINEERING,2022,174.
APA	Shen, Lulu,Li, Jianping,&Suo, Weilan.(2022).Risk response for critical infrastructures with multiple interdependent risks: A scenario-based extended CBR approach.COMPUTERS & INDUSTRIAL ENGINEERING,174.
MLA	Shen, Lulu,et al."Risk response for critical infrastructures with multiple interdependent risks: A scenario-based extended CBR approach".COMPUTERS & INDUSTRIAL ENGINEERING 174(2022).