Items where Author is "Lim, Chee Peng"

Article

Kerk, Yi Wen and Jong, Chian Haur and Chang, Wui Lee and Tan, Choo Jun and Tay, Kai Meng and Lim, Chee Peng (2024) Designing Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems with New Joint Sufficient Conditions. Fuzzy Sets and Systems. p. 109217. ISSN 1872-6801 (In Press)

Yi, Wen Kerk and Chin, Ying Teh and Tay, Kai Meng and Lim, Chee Peng (2021) Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 29 (7). pp. 1864-1873. ISSN 1063-6706

Tay, Kai Meng and Pang, Lie Meng and Lim, Chee Peng and Ishibuchi, Hisao (2020) A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. IEEE Transactions on Fuzzy Systems, 8. pp. 144908-144930. ISSN 1063-6706

Tay, Kai Meng and Kerk, Yi Wen and Teh, Chin Ying and Lim, Chee Peng (2020) Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function. IEEE Transactions on Fuzzy Systems. pp. 1-23. ISSN 1063-6706

Yi, Wen Kerk and Tay, Kai Mei and Lim, Chee Peng (2019) Monotone Interval Fuzzy Inference Systems. IEEE Transactions on Fuzzy Systems, 27 (11). pp. 2255-2264. ISSN 1063-6706

Chai, Kok Chin and Tay, K.M and Lim, Chee Peng (2016) A new method to rank fuzzy numbers using Dempster–Shafer theory with fuzzy targets. Information Sciences, 346. pp. 302-317. ISSN 0020-0255

Tay, Kai Meng and Lim, Chee Peng (2008) On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties. Fuzzy Optim Decis Making, 7 (3). pp. 269-281.

Proceeding

Jong, Chian Haur and Kerk, Yi Wen and Tay, Kai Meng and Lim, Chee Peng (2023) Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions. In: 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 13-17 August 2023, Incheon, Korea.

Kerk, Yi Wen and Tay, Kai Meng and Lim, Chee Peng (2023) Some Notes on Monotone TSK Fuzzy Inference Systems. In: The 20th World Congress of the International Fuzzy Systems Association (IFSA 2023), 20-23 August 2023, Daegu, Korea. (In Press)