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Simple fuzzy logic models to estimate the global temperature change due to GHG emissions

Author
Gay, C.; Sánchez, O.; Martínez, B.; Nebot, M.; Estrada, F.
Type of activity
Presentation of work at congresses
Name of edition
2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Date of publication
2012
Presentation's date
2012
Book of congress proceedings
Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications: Rome, Italy, 28-31 July, 2012
First page
518
Last page
526
Abstract
Future scenarios (through 2100) developed by the Intergovernmental Panel on Climate Change (IPCC) indicate a wide range of concentrations of greenhouse gases (GHG) and aerosols, and the corresponding range of temperatures. These data, allow inferring that higher temperature increases are directly related to higher emission levels of GHG and to the increase in their atmospheric concentrations. It is evident that lower temperature increases are related to smaller amounts of emissions and, to lower...
Keywords
Fuzzy inference models, Global climate change, Greenhouse gases future scenarios
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing

Participants

  • Gay García, Carlos  (author and speaker )
  • Sánchez Meneses, O.  (author and speaker )
  • Martínez López, B.  (author and speaker )
  • Nebot Castells, Maria Angela  (author and speaker )
  • Estrada Fernandez, Fco. Javier  (author and speaker )