Title :
The Fuzzy Synthetic Assessment on the City Disaster Emergency Capability Based on Fuzzy Pattern Recognition
Author :
Zhao Ling ; Tang Minkang ; Chen Ming
Author_Institution :
Resource & Environ. Eng. Sch., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
Abstract :
According to the characteristics of the city disaster, the index system of the city disaster emergency capability assessment is established, and its weight is determined by the analytic hierarchy process. Moreover, the fuzzy synthetic assessment model based on fuzzy pattern recognition is established, and the final assessment grade is expressed by the relative eigenvalue, this model can construct the optimum subordinate degree of fuzzy information, which make the result of assessment more scientific and accurate.
Keywords :
disasters; emergency services; fuzzy set theory; optimisation; pattern recognition; analytic hierarchy process; city disaster emergency capability assessment index system; fuzzy pattern recognition; fuzzy synthetic assessment; optimum subordinate degree; Cities and towns; Earthquakes; Eigenvalues and eigenfunctions; Fuzzy systems; Geology; Meteorology; Pattern analysis; Pattern recognition; Power system modeling; Road accidents;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5302251
