# FUZZY APPROACHES FOR MODELING DYNAMICAL ECOLOGICAL SYSTEMS

### Àngela Nebot, Francisco Mugica, Benjamín Martínez-López, Carlos Gay

#### Abstract

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.

#### References

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#### Paper Citation

#### in Harvard Style

Nebot À., Mugica F., Martínez-López B. and Gay C. (2011). **FUZZY APPROACHES FOR MODELING DYNAMICAL ECOLOGICAL SYSTEMS** . In *Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,* ISBN 978-989-8425-78-2, pages 374-379. DOI: 10.5220/0003614603740379

#### in Bibtex Style

@conference{simultech11,

author={Àngela Nebot and Francisco Mugica and Benjamín Martínez-López and Carlos Gay},

title={FUZZY APPROACHES FOR MODELING DYNAMICAL ECOLOGICAL SYSTEMS},

booktitle={Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},

year={2011},

pages={374-379},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0003614603740379},

isbn={978-989-8425-78-2},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,

TI - FUZZY APPROACHES FOR MODELING DYNAMICAL ECOLOGICAL SYSTEMS

SN - 978-989-8425-78-2

AU - Nebot À.

AU - Mugica F.

AU - Martínez-López B.

AU - Gay C.

PY - 2011

SP - 374

EP - 379

DO - 10.5220/0003614603740379