Publication: Fuzzy dissimilarity-based classification for disaster initial assessment
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Publication Date
2013-08
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Atlantis Press
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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