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Título del libro: Agent Based Modeling Simulation For Land Use Change And Cost-Benefit Analysis Of Land Management Policies
Título del capítulo: FACTS: Fuzzy assessment and control for temperature stabilization regulating global carbon emissions with a fuzzy approach to climate projections

Autores UNAM:
CARLOS GAY Y GARCIA;
Autores externos:

Idioma:
Inglés
Año de publicación:
2016
Palabras clave:

Climate change; Emission control; Flexible AC transmission systems; Fuzzy inference; Fuzzy logic; Fuzzy systems; Neural networks; Stabilization; Carbon emissions; Climate parameters; Climate projection; Fuzzy assessments; Fuzzy inference systems; Global carbon emission; Neural network optimization; Temperature stabilization; Climate models


Resumen:

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. © Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.


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