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Social aggravation estimation to seismic hazard using classical fuzzy methods
dc.contributor.author | González Cárdenas, Rubén |
dc.contributor.author | Nebot Castells, M. Àngela |
dc.contributor.author | Múgica Álvarez, Francisco |
dc.contributor.author | Carreño Tibaduiza, Martha Liliana |
dc.contributor.author | Barbat Barbat, Horia Alejandro |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2016-02-23T09:21:42Z |
dc.date.available | 2016-12-31T01:30:26Z |
dc.date.issued | 2015 |
dc.identifier.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. |
dc.identifier.isbn | 978-3-319-26469-1 |
dc.identifier.uri | http://hdl.handle.net/2117/83302 |
dc.description.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 organizational and institutional capacity to withstand natural hazards, should be invited to the table. In this article, we analyze one of the most important elements in risk formation: the social aggravation, which can be regarded as the convolution of the resilience capacity and social fragility of an urban center. We performed a social aggravation estimation over Barcelona, Spain and Bogota, Colombia considering a particular hazard in the form of seismic activity. The Aggravation coefficient was achieved through a Mamdami fuzzy approach, supported by well-established fuzzy theory, which is characterized by a high expressive power and an intuitive human-like manner. |
dc.format.extent | 19 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | Seismology |
dc.subject.lcsh | Risk management |
dc.subject.other | Fuzzy sets |
dc.subject.other | Natural hazards |
dc.subject.other | Vulnerability index |
dc.subject.other | Social vulnerability |
dc.subject.other | Seismic vulnerability |
dc.subject.other | Fuzzy inference system |
dc.title | Social aggravation estimation to seismic hazard using classical fuzzy methods |
dc.type | Part of book or chapter of book |
dc.subject.lemac | Sismologia |
dc.subject.lemac | Gestió del risc |
dc.contributor.group | Universitat Politècnica de Catalunya. SOCO - Soft Computing |
dc.contributor.group | Universitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria |
dc.identifier.doi | 10.1007/978-3-319-26470-7_14 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007/978-3-319-26470-7_14 |
dc.rights.access | Open Access |
local.identifier.drac | 17505591 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | González, R.; Nebot, M.; Múgica, F.; Carreño, M.L.; Barbat, A. H. |
local.citation.publicationName | Simulation and modeling methodologies, technologies and applications: International Conference, SIMULTECH 2014, Vienna, Austria, August 28-30, 2014: revised selected papers |
local.citation.startingPage | 275 |
local.citation.endingPage | 293 |
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