基于端点白化权函数聚类的水环境质量等级评价分析  

Based on the Whitenization Weight Function of the Endpoint Clustering Analysis of the Water Environment Quality Assessment

作　　者：陈继光[1] 董承秀[1] 

机构地区：[1]山东英才学院建工学院,山东济南250104

出　　处：《数学的实践与认识》2017年第9期98-101,共4页Mathematics in Practice and Theory

基　　金：山东省统计局科研重点课题(KT16032)

摘　　要：为更准确地评价水环境质量,将端点三角白化权函数灰色评估引入到水质综合评价中.针对以往灰色白化权函数评估主要通过测定指标灰聚类系数判定被评价对象的优劣强弱等级进行等级识别评价,对三角白化权函数计算方法进一步扩展,完成多评价对象的准确等级定位及比较排序.将这种方法应用于山东省聊城市东昌湖水水质评价中,经实例计算证明基于三角白化权函数灰色评估评价模型的稳定性、合理性和实用性为水质评价研究方法提供了新的思路和借鉴.To more accurately evaluate the quality of water environment, introducing the endpoint triangular whitenization weight function of grey evaluation to the comprehensive evaluation of water quality. Previous whitenization weight function of grey evaluation mainly by measuring index coefficient of grey clustering decision is object is used to identify the level of the quality strength grade evaluation, extension method for the calculation of triangular whitenization weight function, complete evaluation objects more level of accurate position- ing and comparison sort. This method was applied to shandong province liaocheng city dongchang lake water quality evaluation, proved by practical calculation based on triangular whitenization weight function of grey assessment stability, rationality and practicability of the evaluation model, offers a new way for water quality evaluation methods and using for reference.

关 键 词：三角白化权函数 排序 水质评价 分析 

分 类 号：X824[环境科学与工程—环境工程]