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基于改进的灰色聚类关联分析的水质评价

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采用指数型白化函数建立实测值与各等级之间的对应关系,避免零权重问题,通过修正聚类权重计算体现各评价因子在同一灰类之间的变化幅度,对灰色聚类关联法将进行改进,并应用于水质评价中。对上海青浦急水港和浙江湖州新塘港2009-2013年的水质进行综合评价,结果表明,改进后的灰色聚类关联分析法评价结果更为客观准确。
Water Quality Evaluation Based on Improved Gray Clustering Relation
Exponential whiteness function establishes the correspondence between the measured values and each grade to avoid the problem of zero weight, and the modified clustering weight reflects the each evaluation factor ’s amplitude in the same grade of water quality. Applies the improved grey clustering relation analysis method in the water quality evaluation. After applied to water quality evaluation in Jishui Port Qingpu Shanghai and Xintang Port Huzhou Zhejiang from 2009 to 2013, the result shows that the improved grey clustering method can get evaluation result more objectively and accurately.

Water Quality EvaluationGray Cluster Relation AnalysisExponential Whiteness FfunctionModified Clustering Weight

阮艳荣、高茂庭、张颖

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上海海事大学信息工程学院,上海 201306

水质评价 灰色聚类关联分析法 指数型白化函数 修正聚类权

国家自然科学基金上海市科委科技创新项目上海海事大学科研项目

6127306812595810200

2015

现代计算机(普及版)
中山大学

现代计算机(普及版)

影响因子:0.202
ISSN:1007-1423
年,卷(期):2015.(7)
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