基于改进TOPSIS多目标水库防洪调度方案决策
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  • 英文篇名:Decision-Making of Flood Control Scheme for Multipurpose Reservoir Based on Improved TOPSIS
  • 作者:李俊 ; 武鹏林
  • 英文作者:LI Jun;WU Penglin;College of Water Resources Science and Engineering,Taiyuan University of Technology;
  • 关键词:主成分分析法 ; TOPSIS法 ; 多目标决策 ; 防洪调度
  • 英文关键词:principal component analysis;;TOPSIS;;multi-objective decision;;flood control operation
  • 中文刊名:RMHH
  • 英文刊名:Yellow River
  • 机构:太原理工大学水利科学与工程学院;
  • 出版日期:2017-06-14 10:51
  • 出版单位:人民黄河
  • 年:2017
  • 期:v.39;No.382
  • 语种:中文;
  • 页:RMHH201706009
  • 页数:4
  • CN:06
  • ISSN:41-1128/TV
  • 分类号:38-41
摘要
针对目前多目标水库防洪调度方案决策所采用的方法存在主观性强,以及传统TOPSIS法受指标相关性影响的缺点,介绍了改进的TOPSIS法的决策模型。以洪家渡水库为例,选取能够反映不同调洪方案特性的5个指标,使用主成分分析法从这些指标中提取线性无关的主成分,以这些主成分得分代替原指标,最后以这些新的指标为依据,使用加权TOPSIS法对各个调洪方案进行排序与决策。把计算出的结果同灰色优选法和属性识别法的计算结果进行比较,结果显示三种方法的计算结果基本一致,说明该方法可运用于多目标水库防洪调度方案的决策,且适用性强。
        Aiming at the shortcomings of strong subjectivity existed in the current method used in the decision-making of flood control scheme of multipurpose reservoir and the shortcomings that the original TOPSIS method affected by the correlation of indicators,it introduced the decision model of improved TOPSIS method.In the case of Hongjiadu Reservoir,selecting five evaluation indexes that were able to reflect the different characteristics of flood control scheme,principal component analysis was used to extract linear independent principal components from these evaluation indexes and then replacing the old evaluation indexes by principal components.Finally based on these new evaluation indexes,it used the weighted TOPSIS method for each flood control scheme to sort and decisions.Comparing the results calculated with the calculated results of grey optimization method and the calculated results of attribute recognition method,the comparison result shows that the calculated results of the three methods are basically the same,which shows that the method can be applied to the decision-making of flood control scheme of multipurpose reservoir and the applicability is strong.
引文
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