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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

ISBN: 978-989-758-199-1

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.

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Paper citation in several formats:
Cárdenas, J.; Nebot, À. and Mugica, F. (2016). A Proposal for Climate Change Resilience Management through Fuzzy Controllers.In Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: MSCCES, (SIMULTECH 2016) ISBN 978-989-758-199-1, pages 376-382. DOI: 10.5220/0006031703760382

@conference{mscces16,
author={J. Rubén G. Cárdenas. and Àngela Nebot. and Francisco Mugica.},
title={A Proposal for Climate Change Resilience Management through Fuzzy Controllers},
booktitle={Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: MSCCES, (SIMULTECH 2016)},
year={2016},
pages={376-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006031703760382},
isbn={978-989-758-199-1},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: MSCCES, (SIMULTECH 2016)
TI - A Proposal for Climate Change Resilience Management through Fuzzy Controllers
SN - 978-989-758-199-1
AU - Cárdenas, J.
AU - Nebot, À.
AU - Mugica, F.
PY - 2016
SP - 376
EP - 382
DO - 10.5220/0006031703760382

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