A Proposal for Climate Change Resilience Management through Fuzzy Controllers

J. Rubén G. Cárdenas, Àngela Nebot, Francisco Mugica

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 Harvard Style

Cárdenas J., Nebot À. and Mugica F. (2016). A Proposal for Climate Change Resilience Management through Fuzzy Controllers . In - MSCCES, (SIMULTECH 2016) ISBN , pages 0-0. DOI: 10.5220/0006031703760382


in Bibtex Style

@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={ - MSCCES, (SIMULTECH 2016)},
year={2016},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006031703760382},
isbn={},
}


in EndNote Style

TY - CONF
JO - - MSCCES, (SIMULTECH 2016)
TI - A Proposal for Climate Change Resilience Management through Fuzzy Controllers
SN -
AU - Cárdenas J.
AU - Nebot À.
AU - Mugica F.
PY - 2016
SP - 0
EP - 0
DO - 10.5220/0006031703760382