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Social aggravation estimation to seismic hazard using classical fuzzy methods

Author
Cárdenas, R.; Nebot, A.; Mugica, F.; Carreño, M.L.; Barbat, A. H.
Type of activity
Book chapter
Book
Simulation and modeling methodologies, technologies and applications: International Conference, SIMULTECH 2014, Vienna, Austria, August 28-30, 2014: revised selected papers
First page
275
Last page
293
Publisher
Springer
Date of publication
2015
ISBN
978-3-319-26469-1 Open in new window
DOI
https://doi.org/10.1007/978-3-319-26470-7 Open in new window
Repository
http://hdl.handle.net/2117/83302 Open in new window
URL
http://link.springer.com/book/10.1007/978-3-319-26470-7 Open in new window
Abstract
In the last years, from a disasters perspective, risk has been dimensioned to allow a better management. However, this conceptualization turns out to be limited or constrained, by the generalized use of a fragmented risk scheme, which always consider first, the approach and applicability of each discipline involved. To be congruent with risk definition, it is necessary to consider an integral frame, and social factors must be included. Even those indicators that could tell something about the or...
Citation
González, R., Nebot, M., Múgica, F., Carreño, M.L., Barbat, A. H. Social aggravation estimation to seismic hazard using classical fuzzy methods. A: "Simulation and modeling methodologies, technologies and applications: International Conference, SIMULTECH 2014, Vienna, Austria, August 28-30, 2014: revised selected papers". Springer, 2015, p. 275-293.
Keywords
Fuzzy inference system, Fuzzy sets, Natural hazards, Seismic vulnerability, Social vulnerability, Vulnerability index
Group of research
(MC)2 - UPC Computational continuum mechanics
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
RMEE - Strength of Materials and Structural Engineering Research Group
SOCO - Soft Computing

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