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Authors: Bernardo A. Bastien Olvera and Carlos Gay y García

Affiliation: Universidad Nacional Autónoma de México, Mexico

Keyword(s): Climate Change, Temperature Stabilization, Carbon Emissions, Fuzzy Logic, Fuzzy Inference System, Neural Network.

Abstract: This work presents a new approach for assessing the climate system and for stabilizing the temperature and other climate parameters. FACTS, as we call it, is a fuzzy inference system that overview certain climate state, and is able to generate the CO2 emissions reduction needed to implement in order to stabilize the temperature. FACTS was constructed using a neural network optimization process along with data generated by a classical emissions pathfinder. Then, it was embedded in MAGICC6, a simple climate model that was forced by the four Representative Concentration Pathways until and ultimately stabilized by the proposed methodology.

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Paper citation in several formats:
Bastien Olvera, B. and Gay y García, C. (2016). FACTS: Fuzzy Assessment and Control for Temperature Stabilization - Regulating Global Carbon Emissions with a Fuzzy Approach to Climate Projections. In Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2016) - MSCCES; ISBN 978-989-758-199-1; ISSN 2184-2841, SciTePress, pages 357-362. DOI: 10.5220/0006011603570362

@conference{mscces16,
author={Bernardo A. {Bastien Olvera}. and Carlos {Gay y García}.},
title={FACTS: Fuzzy Assessment and Control for Temperature Stabilization - Regulating Global Carbon Emissions with a Fuzzy Approach to Climate Projections},
booktitle={Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2016) - MSCCES},
year={2016},
pages={357-362},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006011603570362},
isbn={978-989-758-199-1},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2016) - MSCCES
TI - FACTS: Fuzzy Assessment and Control for Temperature Stabilization - Regulating Global Carbon Emissions with a Fuzzy Approach to Climate Projections
SN - 978-989-758-199-1
IS - 2184-2841
AU - Bastien Olvera, B.
AU - Gay y García, C.
PY - 2016
SP - 357
EP - 362
DO - 10.5220/0006011603570362
PB - SciTePress

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