The Application of Entropy Weight of Attribute Recognition Model in Reservoir Eutrophication Evaluation

被引：4
|
作者：
Wu, Du [1 ]
Tang, Deshan [1 ]
Lu, Xingwang [2 ]
Yu, Wenzhong [1 ]
机构：
[1] Hohai Univ, Coll Water Conservancy & Hydropower, Nanjing 210098, Jiangsu, Peoples R China
[2] Water Ind Grp Co Ltd, Tianjin, Peoples R China
来源：
APPLIED MECHANICS AND MATERIALS II, PTS 1 AND 2 | 2014年 / 477-478卷
关键词：
reservoir eutrophication; weight distribution; entropy method; entropy weight of attribute recognition model;
D O I：
10.4028/www.scientific.net/AMM.477-478.870
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Subjective factors could affect the weight distribution of each index in evaluation of reservoir eutrophication, so the example used entropy to deal with the weight distribution of each index. Combined attributes recognition method, the writer selected six indicators to build the entropy weight of attribute recognition model about reservoir eutrophication of ten large reservoirs in Guangdong Province. By comparing the calculated results with the results of matter-element model, the calculation results were basically consistent. So entropy weight of attribute recognition model is applicable to the evaluation of the reservoir eutrophication and it can ensure the fairness and reasonableness of weight distribution.
引用
收藏
页码：870 / +
页数：2
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