摘要
应用多级模糊模式识别模型进行水质量分类评价,克服了最大隶属度原则所不适用的地方,而且以相对隶属度、隶属函数为基础理论,使隶属度、隶属函数的计算更容易。建立了多级模糊模式识别模型,并应用于汾河水质分类评价中,应用结果表明,该方法合理、可行。
Based on the relative membership degree and function, the model of multipolar fuzzy recognition model is applied in river water quality assessment, which overcomes the defects of maximum membership degree law and makes it easier to calculate the relative membership degree and function. The paper sets up a model of multipolar fuzzy pattern recognition, and applies it to the classification and assessment of water quality in Fenhe river, the results show that this method is reasonable and practicable.
出处
《四川环境》
2007年第1期59-62,共4页
Sichuan Environment
关键词
水质评价
相对隶属度
多级模糊模式识别
Water quality assessment
fuzzy subordinative
multipolar fuzzy pattern recognition
