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

Viviana Maura Santos (), Cláudio Henrique Santos Grecco (), Ricardo José Matos Carvalho () and Paulo Victor Rodrigues Carvalho ()
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Viviana Maura Santos: Universidade Federal do Rio grande do Norte
Cláudio Henrique Santos Grecco: Cidade Universitária
Ricardo José Matos Carvalho: Universidade Federal do Rio grande do Norte
Paulo Victor Rodrigues Carvalho: Cidade Universitária

Quality & Quantity: International Journal of Methodology, 2020, vol. 54, issue 3, No 2, 735-759

Abstract: 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 (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11135-019-00953-y

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