Typhoon event-based evolutionary fuzzy inference model for flood stage forecasting

Chang Shian Chen, You Da Jhong, Ting Ying Wu, Shien Tsung Chen

研究成果: Article同行評審

23 引文 斯高帕斯(Scopus)


This study proposes an evolutionary fuzzy inference model that combines a fuzzy inference model, genetic programming (GP), and a genetic algorithm (GA) to forecast flood stages during typhoons. The number of fuzzy inference rules in the proposed approach is based on the number of typhoon flood events. The consequent part of the rule was formed by constructing GP models that depict the rainfall-stage relationship of a specific flood event, whereas the GA was used to search the parameters of the fuzzy membership functions in the premise part of the rule. This study uses the proposed event-based evolutionary fuzzy inference model to forecast the typhoon flood stages of Wu River in Taiwan. Forecasting results based on stage hydrographs and performance indices verify the forecasting ability of the proposed model. This study also identifies the weights of triggered fuzzy rules during the fuzzy inference process, showing that a fuzzy rule is triggered according to the characteristics of the flood event that forms the rule. Moreover, physical explanation of the proposed evolutionary fuzzy inference model was discussed.

頁(從 - 到)134-143
期刊Journal of Hydrology
出版狀態Published - 2013 五月 20

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

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