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Approximate reasoning with fuzzy rule interpolation: background and recent advances.

, , , , and . Artif. Intell. Rev., 54 (6): 4543-4590 (2021)

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Combining support vector machines and information gain ranking for classification of mars McMurdo panorama images., and . ICIP, page 1061-1064. IEEE, (2010)W-Infer-polation: Approximate reasoning via integrating weighted fuzzy rule inference and interpolation., , , and . Knowl. Based Syst., (2022)Sparse Training Data-Based Hyperspectral Image Super Resolution Via ANFIS Interpolation., , , , and . FUZZ, page 1-6. IEEE, (2023)A new approach to exploring rough set boundary region for feature selection., , , , and . ICNC-FSKD, page 1197-1202. IEEE, (2017)Adapting CMAC neural networks with constrained LMS algorithm for efficient torque ripple reduction in switched reluctance motors., , and . IEEE Trans. Contr. Sys. Techn., 7 (4): 401-413 (1999)Rough Feature Selection for Neural Network Based Image Classification., and . Int. J. Image Graph., 2 (4): 541-556 (2002)D-FRI-CiscoFirewall: Dynamic Fuzzy Rule Interpolation for Cisco ASA Firewall., , , and . FUZZ-IEEE, page 1-6. IEEE, (2019)Robotic Chinese Calligraphy with Human Preference., , , , , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 360-366. IEEE, (2019)Helper and equivalent objective different evolution for constrained optimisation., , and . GECCO (Companion), page 9-10. ACM, (2019)Least-mean-log-likelihood adaptive algorithm in single-layer perceptron based communication channel equalisation., , and . ICASSP, page 1711-1714. IEEE Computer Society, (1996)