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Natural Handling of Uncertainties in Fuzzy Climate Models.

, and . SIMULTECH, page 537-544. SciTePress, (2013)

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Global Surface Temperature Model using Coupled Sugeno Type Fuzzy Inference Systems and Neural Network Optimization., and . SIMULTECH, page 519-525. SciTePress, (2015)DNI Nowcasting Applying a Differential Approach Method Into Sky Camera Images., , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Stochastic Resonance and Anti-cyclonic Rings in the Gulf of Mexico., , and . SIMULTECH (Selected Papers), volume 256 of Advances in Intelligent Systems and Computing, page 253-261. Springer, (2012)The fuzzy nature of climate change scenarios maps., and . SIMULTECH, page 863-873. IEEE, (2014)FACTS: Fuzzy Assessment and Control for Temperature Stabilization - Regulating Global Carbon Emissions with a Fuzzy Approach to Climate Projections., and . SIMULTECH, page 357-362. SciTePress, (2016)Stabilizing Global Temperature Through a Fuzzy Control on CO2 Emissions., and . SIMULTECH, page 526-531. SciTePress, (2015)Term-frequency Inverse Document Frequency for the Assessment of Similarity in Central and State Climate Change Programs: An Example for Mexico., , and . SIMULTECH, page 542-546. SciTePress, (2015)Natural Handling of Uncertainties in Fuzzy Climate Models., and . SIMULTECH, page 537-544. SciTePress, (2013)Using Andaptive Neuro Fuzzy Inference System to Build Models with Uncertain Data for Rainfed Maize - Study Case in the State of Puebla (Mexico)., and . SIMULTECH, page 512-516. SciTePress, (2013)An estimate of global temperature increase by means of a fuzzy logic model., and . FSKD, page 782-786. IEEE, (2011)