Complexity Issues in Data-Driven Fuzzy Inference Systems: Systematic Literature Review
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-57672-1_15
Reference114 articles.
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3. Lee, R.S.: Chaotic Interval Type-2 Fuzzy Neuro-oscillatory Network (CIT2-FNON) for worldwide 129 financial products prediction. Int. J. Fuzzy Syst. 21(7), 2223–2244 (2019). https://doi.org/10.1007/s40815-019-00688-w
4. Antonelli, M., Ducange, P., Lazzerini, B., Marcelloni, F.: Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems. In: FUZZ-IEEE 2010, pp. 1–8. IEEE, Barcelona, Spain (2010). https://doi.org/10.1109/fuzzy.2010.5583965
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