摘要
针对水质评价的特点,将其看作为一个确定不确定性系统,通过将各个评价指标与评价标准构成集对,从而在水质评价中引入集对分析理论。采用改进的粗糙集条件信息熵方法确定权重,将两种方法结合得到改进的粗糙集-集对分析耦合方法,并应用于我国12个代表性湖库的水体富营养化评价中。将改进的粗糙集-集对分析耦合方法所得结果分别与单一指标法、模糊可变集法、正态云模型方法、T-S模糊神经网络方法所得结果进行对比分析,验证了该方法的有效性,为水体富营养化评价提供了一种新思路。
According to the characteristics of water quality evaluation,it is regarded as a certain and uncertain system.The set pair analysis theory is introduced in water quality evaluation by forming the set of evaluation indexes and evaluation criteria.The improved rough set conditional information entropy method is used to determine the weight,and the two methods are combined into the improved rough set-set pair analysis.It is applied to the evaluation of water eutrophication of 12 representative lakes in China.The results of the improved rough set-set pair analysis coupling method are compared with the single index method,the fuzzy variable set method,the normal cloud model method and the T-S fuzzy neural network method,which verifies the effectiveness of the method.It provides a new idea for water eutrophication evaluation.
作者
卢媛
王栋
LU Yuan;WANG Dong(Department of Water Science,School of Earth Science and Engineering,Nanjing University,Nanjing 210023,China)
出处
《华北水利水电大学学报（自然科学版）》
2019年第1期34-38,共5页
Journal of North China University of Water Resources and Electric Power：Natural Science Edition
基金
国家重点研发计划项目(2017YFC1502704
2016YFC0401501)
国家自然科学基金项目(41571017
51679118)
关键词
水质评价
集对分析
粗糙集
水体富营养化评价
water quality assessment
set pair analysis
rough set
evaluation of water eutrophication
