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Fuzzy models: Easier to understand and an easier way to handle uncertainties in climate change research

Autor
Gay, C.; Sánchez, O.; Martínez-López, B.; Nebot, M.; Estrada, F.
Tipus d'activitat
Capítol de llibre
Llibre
Simulation and modeling methodologies, technologies and applications: international conference, SIMULTECH 2012: Rome, Italy, July 28-31, 2012: revised selected papers
Pàgina inicial
223
Pàgina final
237
Data de publicació
2014
ISBN
978-3-319-03580-2
DOI
https://doi.org/10.1007/978-3-319-03581-9 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/26115 Obrir en finestra nova
URL
http://link.springer.com/book/10.1007/978-3-319-03581-9 Obrir en finestra nova
Resum
Greenhouse gas emission scenarios (through 2100) developed by the Intergovernmental Panel on Climate Change when converted to concentrations and atmospheric temperatures through the use of climate models result in a wide range of concentrations and temperatures with a rather simple interpretation: the higher the emissions the higher the concentrations and temperatures. Therefore the uncertainty in the projected temperature due to the uncertainty in the emissions is large. Linguistic rules are ob...
Citació
Gay, C. [et al.]. Fuzzy models: Easier to understand and an easier way to handle uncertainties in climate change research. A: "Simulation and modeling methodologies, technologies and applications: international conference, SIMULTECH 2012: Rome, Italy, July 28-31, 2012: revised selected papers". 2014, p. 223-237.
Paraules clau
Fuzzy Inference Models, Greenhouse Gases Future Scenarios, Global Climate Change
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing

Participants

  • Gay García, Carlos  (autor)
  • Sánchez Meneses, Oscar  (autor)
  • Martínez López, Benjamín  (autor)
  • Nebot Castells, Maria Angela  (autor)
  • Estrada, Francisco  (autor)