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Social aggravation estimation to seismic hazard using classical fuzzy methods

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  • معلومة اضافية
    • Publisher Information:
      Springer 2015
    • نبذة مختصرة :
      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.
      Peer Reviewed
      Postprint (author's final draft)
    • الموضوع:
      Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial; Seismology; Risk management; Fuzzy sets; Natural hazards; Vulnerability index; Social vulnerability; Seismic vulnerability; Fuzzy inference system; Sismologia; Gestió del risc; Part of book or chapter of book
    • Availability:
      Open access content. Open access content
      Open Access
    • Note:
      19 p.
      application/pdf
      English
    • Other Numbers:
      HGF oai:upcommons.upc.edu:2117/83302
      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.
      978-3-319-26469-1
      10.1007/978-3-319-26470-7_14
      940776154
    • Contributing Source:
      UNIV POLITECNICA DE CATALUNYA
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.ocn940776154
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