运筹与管理 ›› 2021, Vol. 30 ›› Issue (8): 75-80.DOI: 10.12005/orms.2021.0249

• 理论分析与方法探讨 • 上一篇    下一篇

基于UTA方法的关键基础设施系统的保护研究

郑豆豆 龚晶, 高蕾   

  1. 暨南大学 公共管理学院/应急管理学院 应急管理研究中心,广东 广州 510632
  • 收稿日期:2019-11-16 出版日期:2021-08-25
  • 通讯作者: 龚晶(1976-),女,湖北人,副教授,硕士生导师,研究方向:公共管理,应急决策理论与方法、弹性应急网络管理、人机互动式决策优化。
  • 作者简介:郑豆豆(1994-),女,山西人,硕士研究生,研究方向:公共管理,应急管理;高蕾(1996-),女,河南人,硕士研究生,研究方向:公共管理,应急管理。
  • 基金资助:
    国家自然科学基金青年项目(G010301);暨南大学应急管理研究中心自设项目

Study on Protecting Critical Infrastructure Systems Based on the UTA Method

ZHENG Dou-dou, GONG Jing, GAO lei   

  1. Emergency Management Research Center,School of Public Administration & Emergency Management, Jinan University, Guangzhou 510632, China
  • Received:2019-11-16 Online:2021-08-25

摘要: 关键基础设施系统是城市的生命线,但常因突发事件频发而具有不稳定性和脆弱性。一个好的保护方案应该综合考虑关键基础设施系统的韧性和成本等多个目标,但这些目标常常相互冲突而使决策陷入困境。本研究从多目标优化角度入手,探索用UTA方法确定保护关键基础设施系统最佳方案的可行性,UTA法通过与决策者互动获取决策者的偏好信息,并基于线性规划和价值函数原理构建了决策者偏好模型。通过C县电网系统的案例分析发现UTA方法可帮助决策者在决策过程中考虑多目标之间的冲突与权衡,从而确定最满意的决策方案。

关键词: 关键基础设施系统, 保护, 多目标优化, UTA方法

Abstract: The critical infrastructure systems are the lifelines of cities, but they are unstable and vulnerable due to frequent emergencies. A good protection plan should consider multiple objectives such as resilience, cost, and etc., which often conflict with each other and thus make it difficult to make the final decision. This study explores the potentials and applicability of the UTA method, a multi-objective technique, under the context of protecting the critical infrastructure systems. The UTA model obtains preference information by interacting with decision makers and constructs the preference model of decision makers based on the principles of linear programming and value functions. The case study of the power grid system in C county indicates that the UTA method could help decision makers to achieve tradeoffs between multiple goals in the decision-making process and finally choose the plan that the decision makers are most satisfied with.

Key words: critical infrastructure systems, protection, multi-objective optimization, UTA method

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