Abstract
Real-world problems are commonly composed by interrelated components in many complex ways. They are usually dynamic, that is, they change with time through a series of interactions among related components. Classical decision-making techniques cannot support these kinds of challenges. For that reason, this paper focused on the extension of neuro-fuzzy techniques as Fuzzy Cognitive Maps with Grey Systems Theory.
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Salmeron, J.L. (2023). Extending Neuro-fuzzy Techniques with Grey-Based Hybridisation. In: Yang, Y., Liu, S. (eds) Emerging Studies and Applications of Grey Systems. Series on Grey System. Springer, Singapore. https://doi.org/10.1007/978-981-19-3424-7_4
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DOI: https://doi.org/10.1007/978-981-19-3424-7_4
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