Stability Analysis of Climate System Using Fuzzy Cognitive Maps

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 256)


In the present work we developed a soft computing model for the qualitative analysis of the Earth’s climate system dynamics throughout the implementation of fuzzy cognitive maps. For this purpose, we identified the subsystems in terms of which the dynamics of the whole system can be described. Then, with these concepts we built a cognitive map via the study of the documented relations among these concepts. Once the map was built, we used the technique of state vector and the adjacent matrix to found the hidden pattens, i.e the feedback processes among system’s nodes. Later on, we explored the sensibility of the model to changes in the weights of the edges, and also to changes in the input data values. Finally, we used fuzzy edges to analyze the causality flux among concepts and to explore possible solutions applied in specific edges.


Cognitive Maps Fuzzy Systems Climate System Stability Analysis 


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© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Programa de Investigacin en Cambio ClimáticoUniversidad Nacional Autónoma de MéxicoMéxicoMexico

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