基于改进的灰色聚类关联分析的水质评价
Water Quality Evaluation Based on Improved Gray Clustering Relation
阮艳荣 1高茂庭 1张颖1
作者信息
- 1. 上海海事大学信息工程学院，上海 201306
- 折叠
摘要
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。
Abstract
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.
关键词
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Key words
Water Quality Evaluation/Gray Cluster Relation Analysis/Exponential Whiteness Ffunction/Modified Clustering Weight引用本文复制引用
基金项目
国家自然科学基金(61273068)
上海市科委科技创新项目(12595810200)
上海海事大学科研项目()
出版年
2015
NETL
NSTL
维普
万方数据