Authors:
J. Rubén G. Cárdenas
1
;
Àngela Nebot
2
and
Francisco Mugica
2
Affiliations:
1
IUSS UME School, Italy
;
2
Universitat Politècnica de Catalunya, Spain
Keyword(s):
Fuzzy Sets, Risk Management, Natural Hazards, Social Vulnerability, Resilience Management, Fuzzy Controllers, Inference System, Decision Support System, Artificial Intelligence.
Abstract:
We aim towards the implementation of a set of fuzzy controllers capable to perform automated estimation of
the period of time necessary to recover a resilience level through the non-linear influence of a set of interrelated
climate change resilience indicators constrained by social-based variables. This fuzzy controller set, working
together with a fuzzy inference system type Mamdani, will be capable to estimate the proper adjustments to be
done onto system’s elements in order to achieve a certain resilience level, while a general estimation of required
costs is appraised. The final tool can then be used to provide guidelines for strategic vulnerability planning
and monitoring through a clear understanding between investments and results, while an open evaluation and
scrutiny of applied policies is made. In this paper the main strategy to achieve the mentioned objectives is
presented and discussed.