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River flow forecasting model based on fuzzy inference and associated rules analysis

ZHANG Chi,ZHOU Hui-cheng,LI WeiSchool of Civil and Hydraulic Engineering,Dalian University of Technology,Dalian 116024,China  
The processing of river flow forecasting includes complicated non-linear calculation,how to gain the characteristics of downriver watercourse duly and exactly based on the river flow forecasting model is very important in practice.Aiming at the existing problems on the number of fuzzy rules and parameters in traditional fuzzy inference,a new model based on T-S fuzzy inference engine is proposed to forecast river flow,which confirms rule numbers and model parameters by using associated rules analysis on historical data and non-liner programming method and therefore predicts the future flux value.Through case study,it is testified that the established model based on fuzzy inference and associated rules analysis is easy to understand and implement,especially to excellent precision for flood forecasting.
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