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A fuzzy model to assess the resilience of Protection and Civil Defense Organizations

  • Viviana Maura dos Santos
  • Cláudio Henrique dos Santos Grecco
  • Ricardo José Matos de Carvalho
  • Paulo Victor Rodrigues de CarvalhoEmail author
Article
  • 13 Downloads

Abstract

Resilience is the intrinsic ability of a system to adjust its functioning prior to, during, or following changes and disturbances, so that it can sustain required operations under expected and unexpected conditions. Protection and Civil Defense Organizations (PCDOs), communities and cities deal with disaster management involving routine, non-routine and even unpredictable/unforeseen situations with varying degrees of complexity. It is important that such organizations continually assess their resilience, enable them to learn on their weaknesses and real capacities to cope with emergency situations. This research aimed the development of an Organization Resilience Indicator System (ORIS) based on a fuzzy model to enable PCDOs self-assesses their resilience. Based on a literature review on organizational and community’s resilience, a system of resilience indicators was defined. This system was validated by experts using fuzzy set theory to aggregate opinions in the development of a resilience ideal pattern. Then, the resilience of four PCDO organizations was self-evaluated. The results were accordingly to maturity level of the organizations evaluated, indicating that the ORIS is valuable to measure PCDOs resilience.

Keywords

Disaster prevention Indicators Resilience indicators Aggregation of group opinions 

Notes

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Programa de Pós-Graduação em Engenharia de Produção PEP-UFRNUniversidade Federal do Rio grande do NorteLagoa Nova, NatalBrazil
  2. 2.Comissão Nacional de Energia Nuclear, Instituto de Engenharia NuclearCidade UniversitáriaRio de JaneiroBrazil
  3. 3.Universidade Federal do Rio de Janeiro, Programa de Pos-Graduação em Informática PPGI/UFRJCidade UniversitáriaRio de JaneiroBrazil

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