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Título del libro: Simultech 2011 - Proceedings Of 1st International Conference On Simulation And Modeling Methodologies, Technologies And Applications
Título del capítulo: Fuzzy approaches for modeling dynamical ecological systems

Autores UNAM:
BENJAMIN MARTINEZ LOPEZ; CARLOS GAY Y GARCIA;
Autores externos:

Idioma:
Inglés
Año de publicación:
2011
Palabras clave:

Complex dynamical systems; Ecological systems; Energy balance models; FIR; Fuzzy approach; Fuzzy inductive reasoning; Fuzzy logic approach; Genetic fuzzy systems; Global temperature change; Modelling and simulations; Neurofuzzy system; Ocean-atmosphere system; Prediction accuracy; Soft computing methodologies; Atmospheric temperature; Dynamical systems; Ecology; Fuzzy systems; Soft computing; Fuzzy logic


Resumen:

This research shows the usefulness of fuzzy logic approaches for modelling and simulation of complex dynamical systems. Several hybrid soft computing methodologies based on fuzzy logic, such are neuro-fuzzy systems, genetic-fuzzy systems and the Fuzzy Inductive Reasoning are applied to a real dynamical system in the ecological domain, i.e. the global temperature change. The ocean-atmosphere system is represented in this work by using an energy balance model that reproduces a range of temperatures increase that agrees with that reported by the IPCC. The results obtained by all the fuzzy approaches studied are good, although the Fuzzy Inductive Reasoning methodology performs clearly much better that the other approaches for the application studied from the prediction accuracy point of view.


Entidades citadas de la UNAM: