A fuzzy projection pursuit clustering algorithm based flood disaster assessment model

In view of the complexity, randomness and diversity of flood samples, this paper constructed the fuzzy projection pursuit clustering (FPPC) model which was combined with the fuzzy clustering iterative model and the projection pursuit technique. The model, for the first time, adopted a new projection index function formed by the standard deviation of projection value and the quadratic sum of Euclidean distance of projection value, which has a better validity to the clustering target and avoid the empirical selection of density window width. The FPPC model clusters the samples after reducing their dimension by projection technology, significantly not only reduces the fuzzy clustering iteration computation, but also improves the clustering accuracy and effect. In addition to the initial parameter of optimization algorithm, the model does not need to set any other parameters. Based on the assessment on the historical flood sample set and the comparison with other methods, this paper has verified the accuracy, objectivity, and validity of the FPPC model. The research results are expected to shed a light on making effective decisions for flood risk management. ©, 2015, Systems Engineering Society of China. All right reserved.