Abstract
In this work we propose a Dynamical Fuzzy Cognitive Map (DFCM) where its casual relationships are based on fuzzy rules, in a way that the structure of the map changes during the phase of execution (runtime). We propose the modification of the values of the relationships between the concepts through of fuzzy rules derived from the concept states that represent the system modeled by the map. Our DFCM is ideal to build supervision systems for multiagent systems (MAS), in order to study the behavior of the agents community when they fail, use a lot of resource, etc. In this paper, the DFCM is used to build a supervision system for a faults management system based on multiagent systems. Very good results were obtained, demonstrating that the use of these maps as supervisor of multiagent systems is good and reliable.
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Jose, A. (2010). Dynamic Fuzzy Cognitive Maps for the Supervision of Multiagent Systems. In: Glykas, M. (eds) Fuzzy Cognitive Maps. Studies in Fuzziness and Soft Computing, vol 247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03220-2_13
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DOI: https://doi.org/10.1007/978-3-642-03220-2_13
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