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Authors: Carlos Gay García and Iván Paz Ortiz

Affiliation: Universidad Nacional Autónoma de México, Mexico

Keyword(s): Cognitive Maps, Climate System, Stability.

Abstract: In the present work we use fuzzy cognitive maps for the qualitative analysis of the earth’s climate system dynamics. First of all, we identify the subsystems which determine, as a hole, the stability of the climatic system. Later we develop cognitive maps (knowledge networks) based on the documented relationships between the subsystems (nodes of the network). The relationships between the nodes can be precise (quantifiable) or fuzzy (not quantifiable). Once the map is built, we use the state vector and adjacent matrix technique to assess the response of the system (the system converges or diverges) to the changes in the input node values in order to identify the possibles feedback. Then the Min-Max criteria is used to evaluate the effect of the network over the nodes, according to the fuzzy weights assigned to the edges (causal relations between nodes). Finally, we discuss some possible changes in the network in order to show how the system dynamic can be modified and can lead the sy stem into a desired equilibrium state. (More)

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Paper citation in several formats:
Gay García, C. and Paz Ortiz, I. (2012). Use of Fuzzy Cognitive Maps for Climate System Stability Analysis. In Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2012) - MSCCEC; ISBN 978-989-8565-20-4; ISSN 2184-2841, SciTePress, pages 511-517. DOI: 10.5220/0004164205110517

@conference{msccec12,
author={Carlos {Gay García}. and Iván {Paz Ortiz}.},
title={Use of Fuzzy Cognitive Maps for Climate System Stability Analysis},
booktitle={Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2012) - MSCCEC},
year={2012},
pages={511-517},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004164205110517},
isbn={978-989-8565-20-4},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2012) - MSCCEC
TI - Use of Fuzzy Cognitive Maps for Climate System Stability Analysis
SN - 978-989-8565-20-4
IS - 2184-2841
AU - Gay García, C.
AU - Paz Ortiz, I.
PY - 2012
SP - 511
EP - 517
DO - 10.5220/0004164205110517
PB - SciTePress

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