文章摘要
谢以恒, 沈菊琴, 吴 征, 朱叶松.基于TOPSIS法的城市内涝事件应急群决策研究Journal of Water Resources and Water Engineering[J].,2017,28(1):104-108
基于TOPSIS法的城市内涝事件应急群决策研究
Study of urban waterlogging events emergency group decision based on the TOPSIS method
  
DOI:10.11705/j.issn.1672-643X.2017.01.18
中文关键词: 城市内涝  应急决策  TOPSIS法  群决策
英文关键词: urban waterlogging  emergency decision  TOPSIS method  group decision
基金项目:国家自然科学基金项目(41271537); 国家社会科学基金重大项目(12&ZD214)
Author NameAffiliation
XIE Yiheng1, SHEN Juqin1, WU Zheng1, ZHU Yesong2 (1.河海大学 商学院 江苏 南京 211100
2.安徽工程大学 数理学院 安徽 芜湖 241000) 
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中文摘要:
      为满足城市内涝的应急决策需求,减少内涝损失,提出了基于TOPSIS法的城市内涝事件应急群决策模型。一方面,针对城市内涝事件的发生具有不确定性、复杂性和阶段性的特点,采用区间灰数描述待评价应急方案的评价指标属性值和评价指标权重;另一方面,为有效协调多目标之间的错综复杂的关系,引入TOPSIS法进行方案评价,根据加权规范化矩阵确定方案的正理想解和负理想解并计算相对接近度,并与决策者权威性权重融合得到综合群体决策相对接近度,根据可能性矩阵的排序向量的大小对方案进行排序择优。通过案例分析结果表明:模型具有可行性和现实意义,能够为城市内涝事件的应急决策提供理论参考。
英文摘要:
      In order to meet the enmergency decision-making needs of urban waterlogging and to reduce losses, a urban waterlogging Emergency Group Decision Model based on the TOPSIS method was developed. On the one hand, due to the urban waterlogging occurrence with characteristics of uncertainty, complexity and periodicity, the interval grey number was used to evaluate attributes and weights of indices for the emergency plans needed to evaluation. On the other hand, in order to coordinate the complex relationship between multiple objectives effectively, the TOPSIS method was introduced to evaluate the schemes. After building weighted standardized matrix, use TOPSIS method to determine the program's positive and negative ideal solutions, to calculate the relative proximity, and to comprehensively integrate with decision-maker's authoritative weight and obtain relative proximity of group decision-making, then to rank and select the best plan according to the vector order of possible matrix. By analyzing a particular case, the results indicated that, the method was feasible and practical, which can provid a theoretical reference for the emergency decision of city waterlogging events.
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