Title :
Dam safety fusion evaluation based on fuzzy pattern recognition
Author :
He, Jinping ; Shi, Yuqun
Author_Institution :
State Key Lab. of Water Resources & Hydropower Eng. Sci., Wuhan Univ., Wuhan, China
Abstract :
Dam safety evaluation is a hierarchical fusion analysis and evaluation problem with multi-index and multi-layer structure and multi-source information. In this paper, based on the basic principle of fuzzy pattern recognition, the classification method of fuzzy subsets of dam safety state are researched, the calculating method of membership of quantitative indexes are put forward, the criterion and model of fuzzy pattern recognition are discussed Further more, the dam safety fusion evaluation method fuzzy pattern recognition is constructed based on fuzzy pattern recognition principle and multiple effect-variable of dam safety monitoring, and an example was given. The research results in this paper can provide new method to dam safety fusion evaluation of multiple effect-variable.
Keywords :
condition monitoring; dams; fuzzy set theory; pattern recognition; safety systems; classification method; dam safety fusion evaluation; dam safety monitoring; fuzzy pattern recognition; fuzzy subset; hierarchical fusion analysis; multiindex structure; multilayer structure; multisource information; Helium; Indexes; Monitoring; Pattern recognition; Presses; Safety; Water resources; dam safety; fusion; fuzzy pattern recognition; fuzzy subset; multi-source information;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974975