基于模糊因果聚类预测法预测污水净化程度的研究

Research on Prediction of Sewage Purification Degree Based on Fuzzy Causal Cluster Prediction Method

研究污水净化程度处理规律,改进静态模糊预测中因果聚类分析模糊特征的提供方式,建立新的模糊特征集,构造对应的正态模糊数预测模型;通过实例实测数据进行因果聚类分析,验证模型。

In order to study the law of the sewage purification degree treatment, this paper improves the fuzzy feature supply method of causal cluster analysis in the static fuzzy prediction. Typically, a new fuzzy feature set is established and the corresponding normal fuzzy number prediction model is proposed. In the empirical part, a causal compact class analysis based on the actual measured data is conducted to verify the model.