DocumentCode :
2546482
Title :
Disaster management model based on Modified Fuzzy Cognitive Maps
Author :
Chandana, Sandeep ; Leung, Henry ; Levy, Jason
Author_Institution :
Univ. of Calgary, Calgary
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
392
Lastpage :
397
Abstract :
This paper describes the use of a fuzzy cognitive map (FCM) to model disaster reconstruction, based on data collected from the cities of BAM and Baravat. The extended fuzzy cognitive map augmented with an unsupervised learning algorithm has been used transform the associated data into a graphical model. Further to which, a modular approach based on efficient clustering of correlated variables has been adopted to model the sparse data. Discussion and justification of the results is also presented.
Keywords :
disasters; fuzzy set theory; geophysics computing; unsupervised learning; disaster management model; disaster reconstruction; fuzzy cognitive map; graphical model; sparse data model; unsupervised learning algorithm; Cities and towns; Clustering algorithms; Data engineering; Educational institutions; Fuzzy cognitive maps; Graphical models; Knowledge representation; Magnesium compounds; Predictive models; Unsupervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4413996
Filename :
4413996
Link To Document :
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