[1]潘耀,邓浩宇,陈厦,等.地震灾害应对决策的模型集成规则挖掘[J].自然灾害学报,2020,29(06):070-84.[doi:10.13577/j.jnd.2020.0608]
 PAN Yao,DENG Haoyu,CHEN Xia,et al.Model integration rule mining in earthquake disaster response decision[J].,2020,29(06):070-84.[doi:10.13577/j.jnd.2020.0608]
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地震灾害应对决策的模型集成规则挖掘
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
29
期数:
2020年06期
页码:
070-84
栏目:
出版日期:
2020-12-28

文章信息/Info

Title:
Model integration rule mining in earthquake disaster response decision
作者:
潘耀12 邓浩宇1 陈厦3 尹云鹤1
1. 中国科学院地理科学与资源研究所 中国科学院陆地表层格局与模拟重点实验室, 北京 100101;
2. 中国科学院大学 资源环境学院, 北京 100049;
3. 应急管理部国家减灾中心, 北京 100124
Author(s):
PAN Yao12 DENG Haoyu1 CHEN Xia3 YIN Yunhe1
1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. National Disaster Reduction Center of China, Beijing 100124, China
关键词:
地震应对决策模型集成规则挖掘关联度设计结构矩阵
Keywords:
earthquakedecision-makingmodel integrationrules miningrelevanceDSM
分类号:
P954
DOI:
10.13577/j.jnd.2020.0608
摘要:
面向地震灾害所具有的复杂性、突发性、不确定性等特点,针对信息不完备下地震灾害评估、救助与恢复重建决策支撑系统的综合决策需求,本文提出了基于数据依赖关系的、由模型多维关联度测算和设计结构矩阵模型排序构成的模型集成规则挖掘方法。通过模型之间输入输出关系五个维度,即内容概念、空间范围、时间范围、空间精度、时间粒度的关联度计算,构建模型自动排序的设计结构矩阵,实现多模型的智能选择与集成组配。并以汶川Ms8.0地震为例开展不同决策阶段情景下规则挖掘的实证研究,为灾害应对决策过程模型集成提供基础,提高了应对重大自然灾害的辅助决策能力。
Abstract:
Faced with the characteristics of complexity, suddenness, and uncertainty of earthquake disasters, and for the comprehensive decision-making needs of the decision support system for earthquake disaster assessment, rescue and restoration under incomplete information, this paper proposes a model integration rule mining method based on data dependency.This method is composed of the multidimensional correlation measurement of model and the model ranking based on design structural matrix (DSM). Through calculating the five dimensions of the input and output relevance between models, namely the concept of content, spatial scope, temporal scope, spatial precision, and temporal granularity, a DSM for automatic model ranking was constructed, then the intelligent selection and integrationof multiple models was realized.Taking the Wenchuan Ms8.0 earthquake as an example, empirical research on rule mining in different decision-making scenarios was carried out, which provides a basis for the model integration of decision-making process in response to disasters and improves the auxiliary decision-making ability to deal with major natural disasters.

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备注/Memo

备注/Memo:
收稿日期:2020-02-01;改回日期:2020-09-24。
基金项目:国家重点研发计划资助(2017YFC1502904,2018YFC1508805);中国科学院A类战略性先导科技专项(XDA19040304)
作者简介:潘耀(1994-),女,硕士研究生,主要从事自然灾害风险研究.E-mail:pany.17s@igsnrr.ac.cn
通讯作者:尹云鹤(1979-),女,研究员,博士,主要从事自然地域系统、气候变化影响与自然灾害风险研究.E-mail:yinyh@igsnrr.ac.cn
更新日期/Last Update: 1900-01-01