Towards an Efficient Approach for Mamdani Interval Type-3 Fuzzy Inference Systems
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40815-024-01722-2.pdf
Reference33 articles.
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2. Castillo, O., Castro, J.R., Melin, P.: Forecasting the COVID-19 with interval Type-3 fuzzy logic and the fractal dimension. Int. J. Fuzzy Syst. 25, 182–197 (2023). https://doi.org/10.1007/s40815-022-01351-7
3. Castillo, O., Melin, P.: Interval Type-3 fuzzy decision-making in material surface quality control. In: Jabeen, S.D., Ali, J., Castillo, O. (eds.) Soft Computing and Optimization, pp. 157–169. Springer, Singapore (2022)
4. Huang, H., Xu, H., Chen, F., Zhang, C., Mohammadzadeh, A.: An applied type-3 fuzzy logic system: practical Matlab Simulink and M-Files for robotic, control, and modeling applications. Symmetry. 15, 475 (2023). https://doi.org/10.3390/sym15020475
5. Peraza, C., Castillo, O., Melin, P., Castro, J.R., Yoon, J.H., Geem, Z.W.: A Type-3 fuzzy parameter adjustment in harmony search for the parameterization of fuzzy controllers. Int. J. Fuzzy Syst. (2023). https://doi.org/10.1007/s40815-023-01499-w
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