Study on the methodology of emergency decision-making for water transfer project contingencies: A case-based reasoning and regret theory approach

被引:1
|
作者
Li, Feng [1 ]
Du, Xuewan [1 ]
Huang, Xin [2 ]
Fei, Xiaoxia [3 ]
机构
[1] North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou, Peoples R China
[2] Hohai Univ, Coll Agr Sci & Engn, Nanjing, Peoples R China
[3] Henan Water & Power Engn Consulting Co Ltd, Zhengzhou, Peoples R China
来源
PLOS ONE | 2024年 / 19卷 / 03期
关键词
MANAGEMENT; CBR; ONTOLOGY; IMPACTS;
D O I
10.1371/journal.pone.0300272
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To tackle the global water imbalance problem, a multitude of inter-basin water transfer projects have been built worldwide in recent decades. Nevertheless, given the complexity and safety challenges associated with project operation, effective emergency decision-making is crucial for addressing unforeseen incidents. Hence, this research has developed a two-stage emergency decision-making framework to tackle the uncertainty in the development trends of emergencies in inter-basin water transfer projects. (1) The first stage mainly utilizes case-based reasoning techniques to extract historical case information and disposal plans for inter-basin water transfer projects. Subsequently, a holistic similarity model is built by employing structural similarity and local attribute similarity algorithms to identify highly similar historical cases. (2) The second stage involves the optimization and adjustment of decision-making plans based on the dynamic evolution characteristics of emergencies. It utilizes the theory of decision-makers regret psychology and combines it with practical case studies to verify the scientific rationality of the method. This enables it to achieve effective multidimensional expression and rapid matching of scenarios, satisfying the decision-making requirements of "scenario response". Finally, this study compares the results obtained from this method with those computed using the traditional TOPSIS method and fuzzy comprehensive evaluation method, further validating its feasibility and effectiveness. In practice, this method can provide effective support for decision-makers work.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Emergency decision-making model of environmental emergencies based on case-based reasoning method
    Wang, Delu
    Wan, Kaidi
    Ma, Wenxiao
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 262
  • [2] Case-based reasoning approach for decision-making in building retrofit: A review
    Li, Yangluxi
    Du, Hu
    Kumaraswamy, Satish Basavapatna
    BUILDING AND ENVIRONMENT, 2024, 248
  • [3] A Marine Oil-spilling Emergency Auxiliary Decision-making System Based on Case-based Reasoning
    Liu, Jiandao
    Zhu, Feixiang
    Zhang, Yingjun
    Yang, Xuefeng
    2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2013, : 1753 - 1757
  • [4] Logistics project risk response decision-making for global supply chain resilience and agility: an optimised case-based reasoning
    Zhang, Xu
    Goh, Mark
    Bai, Sijun
    Bai, Libiao
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2024,
  • [5] Research of Wartime Equipment Maintenance Intelligent Decision-making Based on Case-Based Reasoning
    Cai, Jiwei
    Jia, Yunxian
    Gu, Chuang
    Wu, Weiyi
    CEIS 2011, 2011, 15
  • [6] Emergency Decision Making for Electric Power Personal Accidents Based on Ontology and Case-Based Reasoning
    Hao, Xiaolong
    Cao, Cen
    Yu, Sheng
    Sun, Xiaohu
    Feng, Min
    Luo, Wang
    Xu, Zhiqiang
    Xiao, Hui
    SUSTAINABILITY, 2023, 15 (14)
  • [7] Intelligent Case-Based System for Decision-Making in the Electricity Sector
    Sanchez Fleitas, Nayi
    Comas-Rodriguez, Raul
    Garcia Lorenzo, Maria Matilde
    Riverol Quesada, Amanda
    COMPUTACION Y SISTEMAS, 2019, 23 (04): : 1165 - 1180
  • [8] Emergency Decision-Making System for the Large-Scale Infrastructure: A Case Study of the South-to-North Water Diversion Project
    Li, Huimin
    Li, Feng
    Zuo, Jian
    Sun, Jiabin
    Yuan, Chenghui
    Ji, Li
    Ma, Ying
    Yao, Desheng
    JOURNAL OF INFRASTRUCTURE SYSTEMS, 2022, 28 (01)
  • [9] Case-based reasoning for shipwreck emergency salvage scheme assisted decision
    Yiyang, Zou
    Zhang, Yingjun
    Lang, Kun
    Wang, Xiaohui
    OCEAN ENGINEERING, 2023, 278
  • [10] A Regret Theory-Based Decision-Making Method for Urban Rail Transit in Emergency Response of Rainstorm Disaster
    Wang, Yuning
    Liang, Yingzi
    Sun, Hui
    JOURNAL OF ADVANCED TRANSPORTATION, 2020, 2020