Abstract
In the search of modeling methodologies for complex systems various attempts have been made, and so far, all have been inadequate in one thing or another leading the pathway open for the next better tool. Fuzzy cognitive maps have been one of such tools, although mainly used for decision making in what-if scenarios, they can also be used to represent complex systems. In this paper, we define an approach of fuzzy inference system based fuzzy cognitive map for modeling dynamic systems, where the complex model is defined by means of fuzzy IF-THEN rules which represent the behavior of the system in an easy to understand format, therefore facilitating a tool for complex system design. Various examples of dynamic systems are shown used as a means to demonstrate the ease of use, design and capability of the proposed approach.
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Acknowledgements
We thank the MyDCI program of the Division of Graduate Studies and Research and Universidad Autonoma de Baja California, financial support provided by our sponsor CONACYT contract grant number: 345608.
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Barriba, I., Rodríguez-Díaz, A., Castro, J.R., Sanchez, M.A. (2018). An Approach to Fuzzy Inference System Based Fuzzy Cognitive Maps. In: Sanchez, M., Aguilar, L., Castañón-Puga, M., Rodríguez-Díaz, A. (eds) Computer Science and Engineering—Theory and Applications. Studies in Systems, Decision and Control, vol 143. Springer, Cham. https://doi.org/10.1007/978-3-319-74060-7_8
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