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

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Chang-Shian Chen and You-Da Jhong and Ting-Ying Wu and 
                 Shien-Tsung Chen",
  title =        "Typhoon event-based evolutionary fuzzy inference model
                 for flood stage forecasting",
  journal =      "Journal of Hydrology",
  volume =       "490",
  month =        "20 " # may,
  pages =        "134--143",
  year =         "2013",
  keywords =     "genetic algorithms, genetic programming, Fuzzy
                 inference, Flood stage forecasting",
  ISSN =         "0022-1694",
  DOI =          "doi:10.1016/j.jhydrol.2013.03.033",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0022169413002424",
  abstract =     "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.",

Genetic Programming entries for Chang-Shian Chen You-Da Jhong Ting-Ying Wu Shien-Tsung Chen