WorldCIST'14 - The 2014 World Conference on Information Systems and Technologies

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Methodology for clustering cities affected by natural disasters

This study aims to present a methodology to form clusters by analyzing historical data of disasters in the state of Santa Catarina - Brazil, using the k-means method as a tool for pattern analysis. It can therefore assist in the strategic coordination, in the definition of priorities and in the share of experiences between cities. Therefore, the proposed methodology aims to identify similar regions in order to standardize and suggest a method of prevention and, thus, improve and assist the processes of decision-making regarding the events of Humanitarian Logistics. A computational experiment, applying the proposed methodology, was performed and the obtained results are presented and analyzed at the end.

Author(s):

Fabiana Santos Lima    
Federal University of Santa Catarina
Brazil

Daniel de Oliveira    
Federal University of Santa Catarina
Brazil

Mirian Buss Gonçalves    
Federal University of Santa Catarina
Brazil

 

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