一种基于Vague集距离的景观水水质分析算法

摘要

为了对城市景观水的水质进行评价，根据水质评价中数据的不确定性及模糊性的特点，提出一种强调犹豫度的Vague集的距离公式，并研究基于强调犹豫度的Vague集距离公式的水质分析识别方法，算法同时兼顾Vague集的肯定度，否定度，犹豫度，核因素，应用中具有更强的灵活性。实例结果显示，该方法实用可行，为非常规水资源的水质分析和日常管理提供了新途径。%In this paper,in order to evaluate the water quality of urban landscape water,a novel Vague set distance formula of stressing hesitancy degree is proposed, which according to the nondeterminacy and fuzziifcation for water quality assessment. And we researched water quality analysis and Vague Sets distance pattern recognition method base on emphasizing hesitancy degree. Algorithm gives consideration to two or certain degrees of vague set, no degree, hesitation and the nuclear factor. There is greater lfexibility in the application. Example results show that the method is practical and feasible. A new way is provided for the water analysis of unconventional water resources and daily management.