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

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMSS.2009.5302251

Filename

5302251