基于熵权和改进的FAHP的青山湖流域水质评价研究  

Water Quality Evaluation of Qingshan Lake Basin Based on Entropy Coefficient and an Improved Fuzzy Analytic Hierarchy Process

作　　者：沈海波[1] 张妙仙[1] 徐兵兵[2] 尹玉凤[1] 

机构地区：[1]浙江农林大学环境与资源学院,浙江临安311300 [2]同济大学环境科学与工程学院,上海200092

出　　处：《环境科学与技术》2013年第12期181-185,209,共6页Environmental Science & Technology

基　　金：国家水体污染控制与治理科技重大项目(2008ZX07101-006-08)

摘　　要：模糊层次分析法在水质综合评价过程中具有十分重要的意义,但该方法在确定评价指标的权重系数时带有一定的主观性。因此,提出以Shannon信息熵理论中的熵权系数对模糊层次分析法所得到的权重进行修正,得到综合权重。在得到综合权重的基础上,运用改进的模糊层次分析法对水质进行综合分析和评价。文章以青山湖流域为例,选取5个指标进行水质评价。结果表明,利用信息熵理论耦合模糊层次分析法的权重,既考虑了数据本身蕴涵的客观信息,又兼顾了决策者的主观意向,具有很好的合理性。以耦合后的权重再对流域水质进行模糊层次综合评价,能全面反映该流域水质的实际状况。Fuzzy analytic hierarchy process （AHP） has great significance in the process of comprehensive evaluation of water quality, but the method to determine weights coefficient of evaluation indexes with a certain degree of subjectivity. Therefore this paper presents the right to re-amend the weight of fuzzy analytic hierarchy process based on entropy coefficient of Shannon entropy theory, to obtain comprehensive weight. On the basis, using the improved fuzzy AHP method can comprehensively evaluate water quality. Taking basin of Qingshan Lake as an example, 5 indicators were selected to assess water quality, and results showed that by using weight of information entropy theory fuzzy AHP, considering not only the objective information of data, but also the decision maker＇s subjective intention, the result has a good reasonableness. Taking the weight which has coupled to evaluate the basin water quality by fuzzy AHP evaluation, can comprehensively reflect the actual condition of the basin＇ s water quality.

关 键 词：水质评价 信息熵理论 权重 模糊层次分析法 

分 类 号：X824[环境科学与工程—环境工程]