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Authors: Àngela Nebot 1 ; Francisco Mugica 1 ; Benjamín Martínez-López 2 and Carlos Gay 2

Affiliations: 1 Universitat Politècnica de Catalunya, Spain ; 2 Universidad Nacional Autónoma de México, Mexico

Keyword(s): Fuzzy logic, Soft computing, Global temperature change, Neuro-fuzzy systems, Genetic-fuzzy systems, FIR.

Related Ontology Subjects/Areas/Topics: Application Domains ; Ecological Modeling ; Simulation and Modeling

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.

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Paper citation in several formats:
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 - SIMULTECH, ISBN 978-989-8425-78-2; ISSN 2184-2841, pages 374-379. DOI: 10.5220/0003614603740379

@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 - SIMULTECH,},
year={2011},
pages={374-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003614603740379},
isbn={978-989-8425-78-2},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH,
TI - FUZZY APPROACHES FOR MODELING DYNAMICAL ECOLOGICAL SYSTEMS
SN - 978-989-8425-78-2
IS - 2184-2841
AU - Nebot, À.
AU - Mugica, F.
AU - Martínez-López, B.
AU - Gay, C.
PY - 2011
SP - 374
EP - 379
DO - 10.5220/0003614603740379