Fuzzy clustering method based on set pair analysis and Optimal Fuzzy Equivalent Matrix for flood classification

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...

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Bibliographic Details
Published in2009 Chinese Control and Decision Conference pp. 5923 - 5927
Main Authors Jin Ju-liang, Cheng Liang, Li Yue-qing, Wang Wen-sheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Civil engineering
Clustering methods
Disaster management
flood classification
Floods
fuzzy clustering method
Fuzzy sets
genetic algorithm
Genetic algorithms
History
management of flood disaster
Meteorology
optimal fuzzy equivalent matrix
Optimization methods
set pair analysis
Water resources
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Summary: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.
ISBN:9781424427222
1424427223
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2009.5195261