基于混合属性的多级模糊模式识别在水质评价中的应用

Application of multipolar fuzzy pattern recognition based on mixed attribute to water quality evaluation

针对当前多级模糊模式识别方法依赖检测时间,对水质进行评价结果不够全面的问题,提出一种基于混合属性的多级模糊模式识别的方法对水质进行较全面评价。该方法综合确定水质各项指标的权重,并结合影响水质的环境因素,实现了可不完全依赖检测时间的具有预测功能的水质评价,为科学、合理治理水污染提供更准确依据。实例验证表明,该方法水质评价结果合理。

Pointed to the problems of current muhipolar fuzzy pattern recognition method depended on testing time and the evaluating result for the water qulity not complete, this paper intro- duces a muhipolar fuzzy pattern recognition method based on mixed attribute to completely evaluate the water quality. Comprehensively determining the weight of each index and combined with the environment factors affecting the water quality, this method has realized the predictive function on water quality evaluation, which did not depend on testing time totally, and can provide a more accurate basis for scientifically and reasonably decontaminating the water pollution. The examples have shown that the result .of evaluating water quality by this method was reasonable.