基于可变模糊模式识别模型的湖泊富营养化评价  

Application of Lake Eutrophication Evaluation Based on Variable Fuzzy Pattern Recognition Model

作　　者：陈永明[1,2] 沈楠[2] 

机构地区：[1]大连理工大学建设工程学部,辽宁大连116024 [2]吉林省水利科学研究院,吉林长春130022

出　　处：《吉林水利》2014年第2期7-9,12,共4页Jilin Water Resources

摘　　要：针对湖泊富营养化评价中存在模糊性的特征,应用可变模糊模式识别模型对湖泊富营养化进行评价。通过对传统模糊数学得到的结果进行比较,表明可变模糊模式识别模型考虑到各指标值优劣方面对评价结果的影响,避免了最大隶属原则评价可能出现的偏差。Eutrophication Assessment ambiguity exists in the characteristics of the application of variable fuzzy pattern recognition model to evaluate eutrophication.Through the results obtained by the traditional fuzzy mathematics compare showed variable fuzzy pattern recognition model taking into account the impact of the pros and cons of each index value in terms of the evaluation results,avoiding the principle of maximum membership evaluation bias that may arise.

关 键 词：湖泊富营养化 模糊模式识别 相对隶属度 

分 类 号：TV213.3[水利工程—水文学及水资源] O141.4[理学—数学]