A proposal for climate change resilience management through fuzzy controllers

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....

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Bibliographic Details
Published in2016 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH) pp. 1 - 7
Main Authors Cardenas, J. Ruben G., Nebot, Angela, Mugica, Francisco
Format Conference Proceeding
LanguageEnglish
Published SCITEPRESS 01.07.2016
Subjects
Artificial Intelligence
Biological system modeling
Climate change
Decision Support System
Estimation
Fuzzy Controllers
Fuzzy logic
Fuzzy sets
Inference System
Meteorology
Natural Hazards
Resilience
Resilience Management
Risk Management
Sensitivity
Social Vulnerability
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Summary: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.