基于投影寻踪的模糊模式识别模型在水质评价中的应用

Application to water quality assessment based on the fuzzy pattern recognition model by projection pursuit

基于投影寻踪方法,结合陈守煜教授提出的多目标模糊模式识别模型,构造了基于投影寻踪的模糊模式识别模型。该方法利用投影寻踪法确定样本指标的权重,有效克服了评价指标权重因人而异的随机性,使评价指标权重保持相对稳定。最后应用此模型结合济南市某水库水质分析实例,为水质评价的智能化、实时化提供了可能性。

Based on the projection pursuit, with the fuzzy pattern recognition model made by Professor Chen Shou-yu, this paper established fuzzy pattern recognition model based on the projection pursuit. This method used projection pursuit model to calculate weights of sample indicators, effectively overcome the random of weights change from person to person, so that this method can remained relatively stable for weights of sample indicators. Finally this model were applied to analyze one reservoir water quality of Jinan City and provided a possibility for water quality assessment of intelligence and real-time.