基于正态隶属度的集对分析模型在河流健康评价中的应用

Application of Set Pair Analysis Model Based on Normal Degree of Membership in River Health Evaluation

针对河流健康评价过程中存在的不确定性因素,综合考虑河流物理特征、化学特征、生态特征和服务功能建立了河流健康评价指标体系,并在传统集对分析模型的基础上改进了联系度计算公式,用指标的隶属度代表对应的联系度分量,使用正态隶属度函数处理指标的随机性,提出了基于正态隶属度的集对分析模型,并将其应用于中运河河流健康评价中。结果表明,中运河2012年健康等级为良,为进一步改善中运河的健康状况,应加强防洪工程建设。

In view of uncertainties in the process of river health evaluation, index system for river health evaluation is established by integrating river physical characteristics, chemical characteristics, ecological characteristics and service function. Moreover, connection degree formula using the membership degree of index on behalf of the corresponding component of contact in traditional set pair analysis model is improved. And then a set pair analysis of river health evalua tion model based on normal degree of membership is proposed with normal membership function to handle randomness of index. Finally, it is applied to river health evaluation instance of Zhong Canal. The results show that the health degree of Zhong Canal in 2012 is fine. To further improve the health status of the Zhong Canal, flood control projects should be strengthened.