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Fuzzy dissimilarity-based classification for disaster initial assessment

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Rodríguez, Juan Tinguaro and Vitoriano, Begoña and Montero, Javier (2013) Fuzzy dissimilarity-based classification for disaster initial assessment. In Proceedings of the 8th Conference of the European Society For Fuzzy Logic And Technology (EUSFLAT-13). Advances in Intelligent Systems Research (32). Atlantis Press, pp. 448-455. ISBN 978-90786-77-78-9

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Official URL: http://www.atlantis-press.com/php/pub.php?publication=eusflat-13&frame=http%3A//www.atlantis-press.com/php/paper-details.php%3Ffrom%3Dauthor+index%26id%3D8430%26querystr%3Dauthorstr%253DR


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Abstract

A correct initial assessment of disaster consequences is crucial for an adequate decision-making in disaster and emergency management. However, such an initial assessment needs to be correct, but not necessarily fully precise, and thus it can be associated with a fuzzy classification problem in which the set of classes presents a relevant structure. This paper proposes the consideration of a dissimilarity operator in order to introduce such a structure in the classifier's learning and reasoning procedures, leading to an improvement in the classifiers adaptation to the disaster management context features and decision making requirements.


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Conference: 8th Conference of the European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT) Location: Univ Milano Bicocca, Milan, ITALY Date: SEP 11-13, 2013
Sponsor(s): European Soc Fuzzy Log & Technol; Dept Informat, Syst & Commun; Banca Popolare Sondrio

Uncontrolled Keywords:Fuzzy rule based classification systems; disaster management; dissimilarity
Subjects:Sciences > Mathematics > Operations research
ID Code:24126
Deposited On:09 Jan 2014 08:44
Last Modified:25 May 2016 15:24

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