Disaster management model based on Modified Fuzzy Cognitive Maps

-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.

• Type: Conference
• Year: 2007
• Where: SMC
• Authors: Sandeep Chandana, Henry Leung, Jason Levy
• Keywords: Control Systems, Fuzzy Cognitive Map, Graphical Model, SMC 2007, Unsupervised Learning Algorithm