摘要
传统的城市关键基础设施系统抗灾能力评估方法,常出现评估错误的情况,为解决这一问题,设计一种基于多属性分析的城市关键基础设施系统抗灾能力评估方法。综合分析城市关键基础设施系统,将评估指标分为一级指标、二级指标和三级指标,并采用多属性分析法,对微观指标洞察与改进,为使上述获得的指标便于量化,采用多属性分析法分配评估指标权重,在此基础上,建立城市关键基础设施本体模型,将评估指标和指标权重代入该评估模型中,构建基于多属性分析的城市关键基础设施系统抗灾能力评估模型,以此完成城市关键基础设施系统抗灾能力综合评估。实验对比结果表明,此次设计的基于多属性分析的城市关键基础设施系统抗灾能力评估方法比传统评估方法错误评估数量少,能够满足城市关键基础设施系统抗灾能力评估需求。
In order to solve this problem,a disaster resilience assessment method of urban critical infrastructure system based on multi-attribute analysis is designed in order to solve this problem,the traditional evaluation method of disaster resilience of urban critical infrastructure system is often wrong.Based on the comprehensive analysis of the urban key infrastructure system,the evaluation index is divided into the first index,the second index and the third level index,and the multi-attribute analysis method is used to understand and improve the micro index.In order to make the above indexes easy to quantify,the multi attribute analysis method is used to distribute the weight of the evaluation index.On this basis,the ontology model of the urban key infrastructure is established,and the evaluation index and index weight are replaced by the evaluation model.In order to complete the comprehensive evaluation of disaster resilience of urban key infrastructure system,the evaluation model of disaster resilience of urban key infrastructure system based on multi-attribute analysis is constructed.The experimental results show that the disaster resilience assessment method based on multi-attribute analysis is less than the traditional evaluation method,and can meet the needs of disaster resilience assessment of urban critical infrastructure system.
作者
李伦彬
王诗莹
LI Lun-bin;WANG Shi-ying(Heihe University, Heihe Heilongjiang 164300,China)
出处
《佳木斯大学学报(自然科学版)》
CAS
2020年第3期10-13,81,共5页
Journal of Jiamusi University:Natural Science Edition
基金
教育部人文社会科学研究项目(18YJCZH175)
黑龙江省教育厅省属高等学校基本科研业务费科研项目(2018-KYYWF-1247)。
关键词
多属性分析
城市关键基础设施系统
抗灾能力
评估
指标
权重
multi-attribute analysis
urban key infrastructure system
disaster resilience
assessment
indicators
weight