| On modeling of data-driven monotone zero-order TSK fuzzy inference systems using a system identification framework CY Teh, YW Kerk, KM Tay, CP Lim IEEE Transactions on Fuzzy Systems 26 (6), 3860-3874, 2018 | 48 | 2018 |
| Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function YW Kerk, CY Teh, KM Tay, CP Lim IEEE Transactions on Fuzzy Systems 29 (7), 1864-1873, 2020 | 16 | 2020 |
| A monotonicity index for the monotone fuzzy modeling problem KM Tay, CP Lim, CY Teh, SH Lau 2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012 | 11 | 2012 |
| Monotone data samples do not always produce monotone fuzzy if-then rules: learning with ad hoc and system identification methods CY Teh, KM Tay, CP Lim 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2017 | 6 | 2017 |
| On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test CY Teh, KM Tay, CP Lim International Journal of Fuzzy Systems 20, 1915-1924, 2018 | 2 | 2018 |
| Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property CY Teh, KM Tay, CP Lim 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2013 | 2 | 2013 |
| Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules CY Teh, KM Tay Emerging Trends in Neuro Engineering and Neural Computation, 255-264, 2017 | | 2017 |
