| A new accuracy measure based on bounded relative error for time series forecasting C Chen, J Twycross, JM Garibaldi PLOS ONE 12 (3), 1-23, 2017 | 277 | 2017 |
| A Comprehensive Study of the Efficiency of Type-Reduction Algorithms C Chen, D Wu, JM Garibaldi, RI John, J Twycross, JM Mendel IEEE Transactions on Fuzzy Systems, 2020 | 35 | 2020 |
| Type reduction operators for interval type–2 defuzzification TA Runkler, C Chen, R John Information Sciences 467, 464-476, 2018 | 34 | 2018 |
| A direct approach for determining the switch points in the Karnik–Mendel algorithm C Chen, R John, J Twycross, JM Garibaldi IEEE Transactions on Fuzzy Systems 26 (2), 1079-1085, 2017 | 33 | 2017 |
| An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models C Chen, R John, J Twycross, JM Garibaldi IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 602-609, 2016 | 26 | 2016 |
| FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language C Chen, T Razak, J Garibaldi IEEE World Congress on Computational Intelligence, 2020 | 23 | 2020 |
| A Comment on “A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm” C Chen, D Wu, JM Garibaldi, R John, J Twycross, JM Mendel IEEE Transactions on Fuzzy Systems 26 (6), 3905-3907, 2018 | 17 | 2018 |
| Type-1 and Interval Type-2 ANFIS: A Comparison C Chen, R John, J Twycross, JM Garibaldi IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017 | 15 | 2017 |
| Interval Type–2 Defuzzification Using Uncertainty Weights T Runkler, S Coupland, R John, C Chen Springer, 2018 | 13 | 2018 |
| Interval type–2 defuzzification using uncertainty weights TA Runkler, S Coupland, R John, C Chen Frontiers in computational intelligence, 47-59, 2018 | 13 | 2018 |
| FuzzyR: fuzzy logic toolkit for R C Chen, J Garibaldi, T Razak R package version 2 (1), 2019 | 9 | 2019 |
| Quality quantification in deep convolutional neural networks for skin lesion segmentation using fuzzy uncertainty measurement Q Lin, X Chen, C Chen, JM Garibaldi 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022 | 7 | 2022 |
| A novel quality control algorithm for medical image segmentation based on fuzzy uncertainty Q Lin, X Chen, C Chen, JM Garibaldi IEEE Transactions on Fuzzy Systems, 2022 | 6 | 2022 |
| Designing the hierarchical fuzzy systems via FuzzyR toolbox TR Razak, C Chen, JM Garibaldi, C Wagner 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 5 | 2021 |
| Performance and Interpretability in Fuzzy Logic Systems – can we have both? D Pekaslan, C Chen, C Wagner, JM Garibaldi International Conference on Information Processing and Management of …, 2020 | 5 | 2020 |
| Just–In–Time Supply Chain Management Using Interval Type–2 Fuzzy Decision Making TA Runkler, C Chen, S Coupland, R John Proceedings IEEE International Conference on Fuzzy Systems, 2019 | 5 | 2019 |
| Risk sensitive decision making using type reduction methods TA Runkler, C Chen, R John GMA/GI Workshop Computational Intelligence, 139-146, 2018 | 3 | 2018 |
| The Design and Implementation of a Constrained Interval Type-2 Fuzzy System for Credit Card Fraud Detection X Wang, M Li, C Chen, JM Garibaldi 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-7, 2023 | 2 | 2023 |
| Fuzzydcnn: Incorporating fuzzy integral layers to deep convolutional neural networks for image segmentation Q Lin, X Chen, C Chen, JM Garibaldi 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2021 | 2 | 2021 |
| An extension of the FuzzyR toolbox for non-singleton fuzzy logic systems C Chen, Y Zhao, C Wagner, D Pekaslan, JM Garibaldi 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 2 | 2021 |
Jonathan M. GaribaldiUniversity of NottinghamVerified email at cs.nott.ac.uk
