Fuzzy Clustering Method Based on Set Pair Analysis and Optimal Fuzzy Equivalent Matriz for Flood Classification

摘要：

In order to reflect different importance of each index in flood classification, fuzzy analytic hierarchy process was used to determine the weights of flood classification indexes with reason, set pair analysis was used to construct fuzzy similar matrix R, and then a fuzzy clustering method based on Set Pair Analysis and Optimal Fuzzy Equivalent Matrix, named SPA-OFEM for short, was established. The applied results show classification results are reasonable and high precision, the optimal fuzzy equivalent matrix Q can improve matrix transitive degree of R and reduce distortion problem of transitive closure method, and clustering results of history flood samples can be obtained directly based on Q. SPA-OFEM is a simple and effective improved fuzzy clustering method; it can be widely applied in management of flood disaster.

关键词： management of flood disaster flood classification fuzzy clustering method set pair analysis optimal fuzzy equivalent matriz genetic algorithm

作者: JIN Ju-liang CHENG Liang LI Yue-qing WANG Wen-sheng

作者单位: Chengdu Institute of Plateau Meteorology, CMA, Chengdu 610072, China School of Civil Engineering, He School of Civil Engineering, Hefei University of Technology, Hefei 230009,China Chengdu Institute of Plateau Meteorology, CMA, Chengdu 610072,China School of Water Resource and Hydropower of Sichuan University,Chengdu 610065,China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 5923-5927

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）