Application of Fuzzy Clustering Based on Entropy Weights in Flood Classification
Zhao Shuang-xi · Journal of North China Institute of Water Conservancy and Hydroelectric Power · 2009
Based on the analysis of the deficit of the methods of flood classification,the fuzzy clustering model based on entropy weights was used for flood classification.Weights of indexes were gotten by entropy weights,and flood classification was finished by fuzzy clustering.The results show that fuzzy clustering based on entropy weights is not only simple,and overcomes the jamming of repeated bind,but also can be directly drived by history flood example data,and does not need classification indexes value of different flood pattern,has high application value.