改进的模糊综合评价法在太湖水质类别判定中的应用

鄢回<sup>1</sup>; 郁建桥<sup>2</sup>; 徐洁<sup>3</sup>; 陈启美<sup>1</sup>

引用本文:	鄢回，郁建桥，徐洁，陈启美.改进的模糊综合评价法在太湖水质类别判定中的应用[J].环境监控与预警,2012,4(2):39-44
	.Application of improved fuzzy comprehensive evaluation method for water quality assessment in Taihu Lake , China[J].Environmental Monitoring and Forewarning,2012,4(2):39-44

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改进的模糊综合评价法在太湖水质类别判定中的应用
鄢回，郁建桥，徐洁，陈启美^1,2,3
1.南京大学电子科学与工程学院，江苏南京 210093;2.江苏省环境监测中心，江苏南京 210036;3.江苏省环境信息中心，江苏南京 210036

摘要:

水质判别是一个多参数多级别的模糊概念，基础的模糊综合评价法存在局限性，对基础模糊数学法中隶属度函数及最大隶属度原则进行改进，建立一种改进的模糊综合评价法。以太湖流域水质判别为实例验证了此方法比传统的方法更有效，且适合在太湖流域应用。

关键词: 水质判别改进的模糊数学模型指数隶属度函数加权评价原则太湖

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基金项目:国家水体污染控制与治理科技重大专项项目（2009ZX07528-005-02)；江苏省环保厅科研项目（2009017）；江苏省环境监测科研基金项目（0917）

Application of improved fuzzy comprehensive evaluation method for water quality assessment in Taihu Lake , China

Abstract:

Considering that the water quality assessment is a fuzzy concept with multiple indicators and classes, and there are still some limits of fundamental fuzzy comprehensive evaluation method, the exponential membership function and the weighted average principle are combined to establish an improved fuzzy comprehensive evaluation method for water quality assessment. The water quality of Taihu Lake is taken as an example and the results showed that the improved fuzzy comprehensive evaluation method is superior to the traditional model and suitable for the application arround the Taihu Lake Basin.

Key words: water quality assessment improved fuzzy mathematical model exponential membership function Weight average principle Taihu Lake