基于SPA和信息熵的可变模糊集水质评价方法

Set Pair Analysis Method and Information Entropy Based Variable Fuzzy Set Assessment for Groundwater Quality

针对水环境质量动态多变性、不确定性和模糊性的特点,采用集对分析方法计算水质样本与水质评价等级之间的联系度,运用信息熵确定评价指标的权重值,进而建立基于可变模糊集的水质定量评价模型,以5级评判为原则,对以往利用集对势评判水质等级的方法进行了改进。实例评价结果与综合指数法、灰色关联法评价结果对比,验证了该方法的实用性和有效性,其评价结果能够反映研究对象的真实状况。

Water environmental quality is a complex and dynamic system with mass uncertainties and obvious ambiguity.According to the theory of set pair analysis method and information entropy,a quantitative evaluation model of water quality,i.e.SPA-QAM was proposed and the weights of evaluation indexes were determined by information entropy and relative membership degree function of variable fuzzy set.Using five-level criteria method,this model improved the past method which used set pair potential.Compareing with comprehensive index method and gray correlation method in case study,this model is reasonable and highly precise and can be applied to kinds of comprehensive evaluation problems which have given evaluation criteria.