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2020 – today
- 2023
[c26]Chian Haur Jong, Kai Meng Tay, Yi Wen Kerk, Chee Peng Lim:
Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions. FUZZ 2023: 1-6- 2022
- [j27]Yi Wen Kerk
, Kai Meng Tay, Chee Peng Lim:
Monotone Fuzzy Rule Interpolation for Practical Modeling of the Zero-Order TSK Fuzzy Inference System. IEEE Trans. Fuzzy Syst. 30(5): 1248-1259 (2022) - 2021
- [j26]Yi Wen Kerk, Chin Ying Teh, Kai Meng Tay, Chee Peng Lim:
Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function. IEEE Trans. Fuzzy Syst. 29(7): 1864-1873 (2021) - 2020
- [j25]Lie Meng Pang, Kai Meng Tay, Chee Peng Lim, Hisao Ishibuchi:
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. IEEE Access 8: 144908-144930 (2020)
2010 – 2019
- 2019
- [j24]Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
Monotone Interval Fuzzy Inference Systems. IEEE Trans. Fuzzy Syst. 27(11): 2255-2264 (2019) - 2018
- [j23]Anisia Jati Sang, Kai Meng Tay, Chee Peng Lim, Saeid Nahavandi:
Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives. IEEE Access 6: 74628-74647 (2018) - [j22]Chin Ying Teh, Kai Meng Tay, Chee Peng Lim:
On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test. Int. J. Fuzzy Syst. 20(6): 1915-1924 (2018) - [j21]Chin Ying Teh, Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
On Modeling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems Using a System Identification Framework. IEEE Trans. Fuzzy Syst. 26(6): 3860-3874 (2018) - 2017
- [j20]Fei Ha Chiew, Chee Khoon Ng, Kok Chin Chai, Kai Meng Tay:
A Fuzzy Adaptive Resonance Theory-Based Model for Mix Proportion Estimation of High-Performance Concrete. Comput. Aided Civ. Infrastructure Eng. 32(9): 772-786 (2017) - [j19]Wui Lee Chang, Lie Meng Pang, Kai Meng Tay:
Application of self-organizing map to failure modes and effects analysis methodology. Neurocomputing 249: 314-320 (2017) - [j18]Wui Lee Chang, Kai Meng Tay, Chee Peng Lim:
A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization. Neural Process. Lett. 46(2): 379-409 (2017) - [j17]Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis. IEEE Syst. J. 11(3): 1589-1600 (2017) - [c25]Chin Ying Teh, Kai Meng Tay, Chee Peng Lim:
Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods. FUZZ-IEEE 2017: 1-7 - 2016
- [j16]Kok Chin Chai, Chian Haur Jong, Kai Meng Tay, Chee Peng Lim:
A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming. Appl. Soft Comput. 49: 734-747 (2016) - [j15]Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
A new method to rank fuzzy numbers using Dempster-Shafer theory with fuzzy targets. Inf. Sci. 346-347: 302-317 (2016) - [j14]Lie Meng Pang, Kai Meng Tay, Chee Peng Lim:
Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System. IEEE Trans. Fuzzy Syst. 24(6): 1455-1463 (2016) - [c24]Yi Wen Kerk, Lie Meng Pang, Kai Meng Tay, Chee Peng Lim:
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test. FUZZ-IEEE 2016: 94-101 - 2015
- [j13]Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
A new fuzzy peer assessment methodology for cooperative learning of students. Appl. Soft Comput. 32: 468-480 (2015) - [j12]Wui Lee Chang, Kai Meng Tay, Chee Peng Lim:
Clustering and visualization of failure modes using an evolving tree. Expert Syst. Appl. 42(20): 7235-7244 (2015) - [j11]Kai Meng Tay, Chian Haur Jong, Chee Peng Lim:
A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry. Neural Comput. Appl. 26(3): 551-560 (2015) - [j10]Tze Ling Jee, Kai Meng Tay, Chee Peng Lim:
A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis. IEEE Trans. Reliab. 64(3): 869-877 (2015) - 2014
- [c23]Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
A new fuzzy ranking method using fuzzy preference relations. FUZZ-IEEE 2014: 293-297 - [c22]Lie Meng Pang, Kai Meng Tay, Chee Peng Lim:
A new monotonicity index for fuzzy rule-based systems. FUZZ-IEEE 2014: 1566-1570 - [c21]Chian Haur Jong, Kai Meng Tay, Chee Peng Lim:
A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system. FUZZ-IEEE 2014: 1586-1590 - [c20]Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
A new interval-based method for handling non-monotonic information. FUZZ-IEEE 2014: 2178-2183 - [c19]Tze Ling Jee, Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
Building fuzzy inference systems with similarity reasoning: NSGAII-based fuzzy rule selection and evidential functions. FUZZ-IEEE 2014: 2192-2197 - [c18]Fei Ha Chiew, Kok Chin Chai, Chee Khoon Ng, Kai Meng Tay:
A Fuzzy ART-Based Approach for Estimation of High Performance Concrete Mix Proportion. ICONIP (3) 2014: 407-414 - [c17]Wui Lee Chang, Kai Meng Tay, Chee Peng Lim:
A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology. ICONIP (3) 2014: 415-422 - [c16]See Hung Lau, Kai Meng Tay, Chee Khoon Ng:
An Application of Fuzzy Adaptive Resonance Theory to Engineering Education. ICONIP (3) 2014: 423-430 - [c15]Kok Chin Chai, Kai Meng Tay:
A perceptual computing-based approach for peer assessment. SoSE 2014: 160-165 - 2013
- [j9]Tze Ling Jee, Kai Meng Tay, Chee Khoon Ng:
A new fuzzy criterion-referenced assessment with a fuzzy rule selection technique and a monotonicity-preserving similarity reasoning scheme. J. Intell. Fuzzy Syst. 24(2): 261-279 (2013) - [c14]Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
A new Dempster-Shafer Theory-based method with fuzzy targets for Fuzzy Sets ranking. FUZZ-IEEE 2013 - [c13]Wui Lee Chang, Kai Meng Tay, Chee Peng Lim:
Enhancing an Evolving Tree-based text document visualization model with Fuzzy c-Means clustering. FUZZ-IEEE 2013: 1-6 - [c12]Chee Khoon Ng, See Hung Lau, Kai Meng Tay:
Monotonicity preserving SIRMs-connected fuzzy inference systems with a new monotonicity index: Learning and tuning. FUZZ-IEEE 2013 - [c11]Kai Meng Tay, Tze Ling Jee, Lie Meng Pang, Chee Peng Lim:
A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems. FUZZ-IEEE 2013 - [c10]Kai Meng Tay, Lie Meng Pang, Tze Ling Jee, Chee Peng Lim:
A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems. FUZZ-IEEE 2013: 1-8 - [c9]Chin Ying Teh, Kai Meng Tay, Chee Peng Lim:
Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property. FUZZ-IEEE 2013: 1-7 - 2012
- [j8]Hirosato Seki, Kai Meng Tay:
On the Monotonicity of Fuzzy Inference Models. J. Adv. Comput. Intell. Intell. Informatics 16(5): 592-602 (2012) - [j7]Kai Meng Tay, Tze Ling Jee, Chee Peng Lim:
A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems. J. Intell. Fuzzy Syst. 23(2-3): 71-92 (2012) - [c8]Kai Meng Tay, Chee Peng Lim, Tze Ling Jee:
Building monotonicity-preserving Fuzzy Inference models with optimization-based similarity reasoning and a monotonicity index. FUZZ-IEEE 2012: 1-8 - [c7]Kai Meng Tay, Chee Peng Lim, Chin Ying Teh, See Hung Lau:
A monotonicity index for the monotone fuzzy modeling problem. FUZZ-IEEE 2012: 1-8 - 2011
- [j6]Kai Meng Tay, Chee Peng Lim:
A fuzzy inference system-based criterion-referenced assessment model. Expert Syst. Appl. 38(9): 11129-11136 (2011) - [j5]Kai Meng Tay, Chee Peng Lim:
On Monotonic sufficient conditions of Fuzzy Inference Systems and their Applications. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19(5): 731-757 (2011) - [j4]Tze Ling Jee, Kai Meng Tay, Chee Khoon Ng:
Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique. J. Adv. Comput. Intell. Intell. Informatics 15(9): 1203-1210 (2011) - [c6]Kai Meng Tay, Chee Peng Lim:
An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems. FUZZ-IEEE 2011: 442-447 - [c5]Kai Meng Tay, Chee Peng Lim:
Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of Fuzzy Inference Systems. FUZZ-IEEE 2011: 1219-1224 - 2010
- [j3]Kai Meng Tay, Chee Peng Lim:
Enhancing the Failure Mode and Effect Analysis methodology with fuzzy inference techniques. J. Intell. Fuzzy Syst. 21(1-2): 135-146 (2010) - [c4]Kai Meng Tay, Chee Peng Lim, Tze Ling Jee:
Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application. ECMS 2010: 213-218
2000 – 2009
- 2009
- [c3]Kai Meng Tay, Chee Peng Lim:
On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models. FUZZ-IEEE 2009: 1736-1740 - [c2]Kai Meng Tay:
On Fuzzy Inference System Based Failure Mode and Effect Analysis (FMEA) Methodology. SoCPaR 2009: 329-334 - 2008
- [j2]Kai Meng Tay, Chee Peng Lim:
On the use of fuzzy inference techniques in assessment models: part I - theoretical properties. Fuzzy Optim. Decis. Mak. 7(3): 269-281 (2008) - [j1]Kai Meng Tay, Chee Peng Lim:
On the use of fuzzy inference techniques in assessment models: part II: industrial applications. Fuzzy Optim. Decis. Mak. 7(3): 283-302 (2008) - 2004
- [c1]Kai Meng Tay, Chee Peng Lim:
Application of Fuzzy Inference Techniques to FMEA. WSC 2004: 161-171
Coauthor Index
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