RT Book, Section
T1 Fuzzy dissimilarity-based classification for disaster initial assessment
A1 Rodríguez, Juan Tinguaro
A1 Vitoriano, Begoña
A1 Montero, Javier
A2 Pasi, G.
A2 Montero, Javier
A2 Ciucci, D.
AB 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.
PB Atlantis Press
SN 978-90786-77-78-9
YR 2013
FD 2013-08
LK https://hdl.handle.net/20.500.14352/35668
UL https://hdl.handle.net/20.500.14352/35668
LA eng
NO 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
DS Docta Complutense
RD 18 may 2024