基于熵权的可变模糊集方法在水质污染评价中的应用  

Application of Variable Fuzzy Set Theory Method Based on Entropy Weight to Evaluation Water Pollution

作　　者：吴景龙[1] 孙亚丽[2,3] 马毅[1] 王希良[1] 刘振[1] 

机构地区：[1]石家庄铁道大学交通运输学院,河北石家庄050043 [2]石家庄铁道大学 [3]石家庄交大建筑设计研究有限公司,河北石家庄050043

出　　处：《数学的实践与认识》2012年第6期65-73,共9页Mathematics in Practice and Theory

摘　　要：水质污染评价是水环境污染防治的重要基础,针对评价过程中评价指标的不确定性,将可变模糊集理论应用于水质污染评价中,首先,建立合理的指标体系与等级标准,然后,将熵值原理引入该方法中,利用指标实测数据的波动性来计算指标权重,最后,利用模糊可变评价模型对水质污染进行组合评价,并将均值作为最终评价结果,将此方法应用于泰州市新通扬运河水质污染评价中,结果表明,与模糊综合评价相比,基于熵权的可变模糊集方法评价结果合理、客观,具有更好的可靠性与稳定性,为水质污染评价工作提供了一种新的研究方法与思路.Water pollution evaluation is the important foundation on water pollution prevention and control,in view of the uncertainty of evaluation,variable fuzzy set theory is applied in the assessment of water pollution,first,established the reasonable index system and rating standard,then,took entropy weight into this method,used index experimental data volatility to calculate the index weight,at last,applied fuzzy variable evaluation model to evaluate water pollution,took will mean for the final evaluation results,the method is applied in taizhou nw tongyang canal water pollution evaluation,results show,compared with fuzzy comprehensive evaluation,variable fuzzy sets method based on entropy weight to evaluate the result is reasonable, objective,and has better reliability and stability,provides a new research methods and ideas for water pollution evaluation work.

关 键 词：水质污染 评价 权重 熵 可变模糊集 相对隶属度 

分 类 号：X824[环境科学与工程—环境工程]