A fuzzy projection pursuit clustering algorithm based flood disaster assessment model

LIAO Li, ZOU Qiang, HE Yao-yao, ZENG Xiao-fan, ZHOU Jian-zhong, ZHANG Yong-chuan

Systems Engineering - Theory & Practice ›› 2015, Vol. 35 ›› Issue (9) : 2422-2432.

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Systems Engineering - Theory & Practice ›› 2015, Vol. 35 ›› Issue (9) : 2422-2432. DOI: 10.12011/1000-6788(2015)9-2422

A fuzzy projection pursuit clustering algorithm based flood disaster assessment model

  • LIAO Li1,2, ZOU Qiang3, HE Yao-yao4, ZENG Xiao-fan5, ZHOU Jian-zhong5, ZHANG Yong-chuan5
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Abstract

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.

Key words

flood disaster assessment / fuzzy clustering iterative / projection pursuit / fuzzy projection pursuit clustering model

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LIAO Li , ZOU Qiang , HE Yao-yao , ZENG Xiao-fan , ZHOU Jian-zhong , ZHANG Yong-chuan. A fuzzy projection pursuit clustering algorithm based flood disaster assessment model. Systems Engineering - Theory & Practice, 2015, 35(9): 2422-2432 https://doi.org/10.12011/1000-6788(2015)9-2422

References

[1] 邹强, 周建中, 周超, 等. 基于最大熵原理和属性区间识别理论的洪水灾害风险分析[J]. 水科学进展, 2012, 23(3): 323-333.Zou Qiang, Zhou Jianzhong, Zhou Chao, et al. Flood disaster risk analysis based on principle of maximum entropy and attribute interval recognition theory[J]. Advances in Water Science, 2012, 23(3): 323-333.
[2] 王兆礼, 陈晓宏, 赖成光, 等. 基于粒子群规则挖掘算法的洪灾风险评价模型[J]. 系统工程理论与实践, 2013, 33(6): 1615-1621.Wang Zhaoli, Chen Xiaohong, Lai Chengguang, et al. Flood risk assessment model based on particle swarm optimization rule mining algorithm[J]. Systems Engineering——Theory & Practice, 2013, 33(6): 1615-1621.
[3] Alderman K, Turner L R, Tong S L. Floods and human health: A systematic review[J]. Environment International, 2012, 47: 37-47.
[4] Yang X L, Ding J H, Hou H. Application of a triangular fuzzy AHP approach for flood risk evaluation and response measures analysis[J]. Natural Hazards, 2013, 68(2): 657-674.
[5] 付强, 赵小勇. 投影寻踪模型原理及其应用[M]. 北京:科学出版社, 2006.Fu Qiang, Zhao Xiaoyong. Principle and application of projection pursuit model[M]. Beijing: Science Press, 2006.
[6] 陈曜, 丁晶, 赵永红. 基于投影寻踪原理的四川省洪灾评估[J]. 水利学报, 2010, 41(2): 220-225.Chen Yao, Ding Jing, Zhao Yonghong. Assessment on flood disaster in Sichuan province based on the principle of projection pursuit method[J]. Journal of Hydraulic Engineering, 2010, 41(2): 220-225.
[7] 高媛媛, 许新宜, 王红瑞, 等. 中国水资源利用效率评估模型构建及应用[J]. 系统工程理论与实践, 2013, 33(3): 776-784.Gao Yuanyuan, Xu Xinyi, Wang Hongrui, et al. New model for water use efficiency evaluation of China and its application[J]. Systems Engineering——Theory & Practice, 2013, 33(3): 776-784.
[8] 张欣莉, 丁晶, 金菊良. 基于遗传算法的参数投影寻踪回归及其在洪水预报中的应用[J]. 水利学报, 2000, 31(6): 45-49.Zhang Xinli, Ding Jing, Jin Juliang. Application of parametric projection pursuit regression based on genetic algorithm in flood forecasting[J]. Journal of Hydraulic Engineering, 2000, 31(6): 45-49.
[9] 金菊良, 张欣莉, 丁晶. 评估洪水灾情等级的投影寻踪模型[J]. 系统工程理论与实践, 2002, 22(2): 140-144.Jin Juliang, Zhang Xinli, Ding Jing. Projection pursuit model for evaluating grade of flood disaster loss[J]. Systems Engineering——Theory & Practice, 2002, 22(2): 140-144.
[10] 倪长健, 崔鹏. 投影寻踪动态聚类模型[J]. 系统工程学报, 2007, 22(6): 634-638.Ni Changjian, Cui Peng. Projection pursuit dynamic cluster model[J]. Journal of Systems Engineering, 2007, 22(6): 634-638.
[11] 李天恩, 何桢. 复杂产品多故障诊断中的核模糊聚类方法[J]. 系统工程理论与实践, 2013, 33(1): 181-186.Li Tianen, He Zhen. Kernel-based fuzzy clustering algorithm for multi-faults diagnosis of comples products[J]. Systems Engineering——Theory & Practice, 2013, 33(1): 181-186.
[12] 陈守煜, 李庆国. 一种新的模糊聚类神经网络及其在水资源评价中的应用[J]. 水利学报, 2005, 36(6): 662-666.Chen Shouyu, Li Qingguo. Fuzzy clustering neural network and its application to water resources assessment[J]. Journal of Hydraulic Engineering, 2005, 36(6): 662-666.
[13] 陈守煜. 水资源系统可变集评价原理与方法[J]. 水利学报, 2013, 44(2): 134-142.Chen Shouyu. Variable sets assessment theory and method of water resource system[J]. Journal of Hydraulic Engineering, 2013, 44(2): 134-142.
[14] Liao L, Zhou J Z, Zou Q. Weighted fuzzy kernel-clustering algorithm with adaptive differential evolution and its application on flood classification[J]. Natural Hazards, 2013, 69(1): 279-293.
[15] 何耀耀. 基于混沌进化的水库调度和洪灾评估理论与方法[D]. 武汉: 华中科技大学, 2010.He Yaoyao. The reservoir operation and flood disaster evaluation theory method based on chaotic evolution[D]. Wuhan: Huazhong University of Science & Technology, 2010.
[16] 于雪峰, 陈守煜. 模糊聚类迭代模型在洪水灾害度划分中应用[J]. 大连理工大学学报, 2005, 45(1): 128-131.Yu Xuefeng, Chen Shouyu. Application of fuzzy clustering iterative model to classification of flood disaster grade[J]. Journal of Dalian University of Technology, 2005, 45(1): 128-131.
[17] 廖力, 李蕊, 邹强, 等. 基于模糊聚类迭代模型的洪灾智能评估方法[J]. 人民长江, 2014, 45(4): 1-4.Liao Li, Li Rui, Zou Qiang, et al. Intelligent assessment of flood disaster based on fuzzy clustering iterative model[J]. Yangtze River, 2014, 45(4): 1-4.
[18] Xie X L, Beni G. A validity measure for fuzzy clustering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(8): 841-847.
[19] Bezdek J C. Fuzzy mathematics in pattern classification[M]. Cornell University, 1973.
[20] Bezdek J C. Mathematical models for systematics and taxonomy[C]//Proceedings of Eighth International Conference on Numerical Taxonomy, 1975: 143-166.
[21] 李超顺, 周建中, 方仍存, 等. 基于混沌优化的模糊聚类分析方法[J]. 系统仿真学报, 2009, 21(10): 2977-2980.Li Chaoshun, Zhou Jianzhong, Fang Rengcun, et al. Fuzzy clustering analytic method based on chaos optimization[J]. Journal of System Simulation, 2009, 21(10): 2977-2980.
[22] 孙倩, 段春青, 邱林, 等. 基于熵权的模糊聚类模型在洪水分类中的应用[J]. 华北水利水电学院学报, 2007, 28(5): 4-6.Sun Qian, Duan Chunqing, Qiu Lin, et al. Application of fuzzy clustering model based on entropy weights in flood classification[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2007, 28(5): 4-6.
[23] He Y Y, Zhou J Z, Kou P G, et al. A fuzzy clustering iterative model using chaotic differential evolution algorithm for evaluating flood disaster[J]. Expert Systems with Applications, 2011, 38(8): 10060-10065.
[24] 蒋金才, 季新菊. 河南省 1950~1990年水旱灾害分析[J]. 灾害学, 1996, 11(4): 69-73.Jiang Jincai, Ji Xinju. Preliminary analysis of flood and drought disaster between 1950 and 1990 in Henan province[J]. Journal of Catastrophology, 1996, 11(4): 69-73.
[25] 卢有麟, 周建中, 宋利祥, 等. 基于 CCPSO 及 PP 模型的洪灾评估方法及其仿真应用[J]. 系统仿真学报, 2010, 22(2): 383-387.Lu Youlin, Zhou Jianzhong, Song Lixiang, et al. Flood disaster evaluating method based on CCPSO along with projection pursuit model and its application[J]. Journal of System Simulation, 2010, 22(2): 383-387.
[26] 金菊良, 魏一鸣. 基于遗传算法的洪水灾情评估神经网络模型探讨[J]. 灾害学, 1998, 13(2): 6-11.Jin Juliang, Wei Yiming. Investigation of genetic algorithm based on neural network model for evaluation of flood disaster[J]. Journal of Catastrophology, 1998, 13(2): 6-11.
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