Abstract
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.
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Lima, F.S., de Oliveira, D., Gonçalves, M.B. (2014). Methodology for Clustering Cities Affected by Natural Disasters. In: Rocha, Á., Correia, A., Tan, F., Stroetmann, K. (eds) New Perspectives in Information Systems and Technologies, Volume 1. Advances in Intelligent Systems and Computing, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-319-05951-8_10
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DOI: https://doi.org/10.1007/978-3-319-05951-8_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05950-1
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