Application of Fuzzy Inference Techniques to FMEA. - Kai Meng Tay; Chee Peng Lim (WSC, 2004)

On the use of fuzzy inference techniques in assessment models: part I - theoretical properties. - Kai Meng Tay; Chee Peng Lim (Fuzzy Optim. Decis. Mak., 2008)

On the use of fuzzy inference techniques in assessment models: part II: industrial applications. - Kai Meng Tay; Chee Peng Lim (Fuzzy Optim. Decis. Mak., 2008)

On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models. - Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2009)

On Fuzzy Inference System Based Failure Mode and Effect Analysis (FMEA) Methodology. - Kai Meng Tay (SoCPaR, 2009)

Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application. - Kai Meng Tay; Chee Peng Lim; Tze Ling Jee (ECMS, 2010)

Enhancing the Failure Mode and Effect Analysis methodology with fuzzy inference techniques. - Kai Meng Tay; Chee Peng Lim (J. Intell. Fuzzy Syst., 2010)

An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems. - Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2011)

Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of Fuzzy Inference Systems. - Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2011)

A fuzzy inference system-based criterion-referenced assessment model. - Kai Meng Tay; Chee Peng Lim (Expert Syst. Appl., 2011)

On Monotonic sufficient conditions of Fuzzy Inference Systems and their Applications. - Kai Meng Tay; Chee Peng Lim (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011)

Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique. - Tze Ling Jee; Kai Meng Tay; Chee Khoon Ng (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Building monotonicity-preserving Fuzzy Inference models with optimization-based similarity reasoning and a monotonicity index. - Kai Meng Tay; Chee Peng Lim; Tze Ling Jee (FUZZ-IEEE, 2012)

A monotonicity index for the monotone fuzzy modeling problem. - Kai Meng Tay; Chee Peng Lim; Chin Ying Teh; See Hung Lau (FUZZ-IEEE, 2012)

On the Monotonicity of Fuzzy Inference Models. - Hirosato Seki; Kai Meng Tay (J. Adv. Comput. Intell. Intell. Informatics, 2012)

A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems. - Kai Meng Tay; Tze Ling Jee; Chee Peng Lim (J. Intell. Fuzzy Syst., 2012)

A new Dempster-Shafer Theory-based method with fuzzy targets for Fuzzy Sets ranking. - Kok Chin Chai; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2013)

Enhancing an Evolving Tree-based text document visualization model with Fuzzy c-Means clustering. - Wui Lee Chang; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2013)

Monotonicity preserving SIRMs-connected fuzzy inference systems with a new monotonicity index: Learning and tuning. - Chee Khoon Ng; See Hung Lau; Kai Meng Tay (FUZZ-IEEE, 2013)

A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems. - Kai Meng Tay; Tze Ling Jee; Lie Meng Pang; Chee Peng Lim (FUZZ-IEEE, 2013)

A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems. - Kai Meng Tay; Lie Meng Pang; Tze Ling Jee; Chee Peng Lim (FUZZ-IEEE, 2013)

Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property. - Chin Ying Teh; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2013)

A new fuzzy criterion-referenced assessment with a fuzzy rule selection technique and a monotonicity-preserving similarity reasoning scheme. - Tze Ling Jee; Kai Meng Tay; Chee Khoon Ng (J. Intell. Fuzzy Syst., 2013)

A new fuzzy ranking method using fuzzy preference relations. - Kok Chin Chai; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2014)

Building fuzzy inference systems with similarity reasoning: NSGAII-based fuzzy rule selection and evidential functions. - Tze Ling Jee; Kok Chin Chai; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2014)

A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system. - Chian Haur Jong; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2014)

A new interval-based method for handling non-monotonic information. - Yi Wen Kerk; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2014)

A new monotonicity index for fuzzy rule-based systems. - Lie Meng Pang; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2014)

A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology. - Wui Lee Chang; Kai Meng Tay; Chee Peng Lim (ICONIP (3), 2014)

A Fuzzy ART-Based Approach for Estimation of High Performance Concrete Mix Proportion. - Fei Ha Chiew; Kok Chin Chai; Chee Khoon Ng; Kai Meng Tay (ICONIP (3), 2014)

An Application of Fuzzy Adaptive Resonance Theory to Engineering Education. - See Hung Lau; Kai Meng Tay; Chee Khoon Ng (ICONIP (3), 2014)

A perceptual computing-based approach for peer assessment. - Kok Chin Chai; Kai Meng Tay (SoSE, 2014)

A new fuzzy peer assessment methodology for cooperative learning of students. - Kok Chin Chai; Kai Meng Tay; Chee Peng Lim (Appl. Soft Comput., 2015)

Clustering and visualization of failure modes using an evolving tree. - Wui Lee Chang; Kai Meng Tay; Chee Peng Lim (Expert Syst. Appl., 2015)

A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry. - Kai Meng Tay; Chian Haur Jong; Chee Peng Lim (Neural Comput. Appl., 2015)

A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis. - Tze Ling Jee; Kai Meng Tay; Chee Peng Lim (IEEE Trans. Reliab., 2015)

Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test. - Yi Wen Kerk; Lie Meng Pang; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2016)

A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming. - Kok Chin Chai; Chian Haur Jong; Kai Meng Tay; Chee Peng Lim (Appl. Soft Comput., 2016)

A new method to rank fuzzy numbers using Dempster-Shafer theory with fuzzy targets. - Kok Chin Chai; Kai Meng Tay; Chee Peng Lim (Inf. Sci., 2016)

Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System. - Lie Meng Pang; Kai Meng Tay; Chee Peng Lim (IEEE Trans. Fuzzy Syst., 2016)

Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods. - Chin Ying Teh; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2017)

A Fuzzy Adaptive Resonance Theory-Based Model for Mix Proportion Estimation of High-Performance Concrete. - Fei Ha Chiew; Chee Khoon Ng; Kok Chin Chai; Kai Meng Tay (Comput. Aided Civ. Infrastructure Eng., 2017)

Application of self-organizing map to failure modes and effects analysis methodology. - Wui Lee Chang; Lie Meng Pang; Kai Meng Tay (Neurocomputing, 2017)

A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization. - Wui Lee Chang; Kai Meng Tay; Chee Peng Lim (Neural Process. Lett., 2017)

An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis. - Yi Wen Kerk; Kai Meng Tay; Chee Peng Lim (IEEE Syst. J., 2017)

Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives. - Anisia Jati Sang; Kai Meng Tay; Chee Peng Lim; Saeid Nahavandi (IEEE Access, 2018)

On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test. - Chin Ying Teh; Kai Meng Tay; Chee Peng Lim (Int. J. Fuzzy Syst., 2018)

On Modeling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems Using a System Identification Framework. - Chin Ying Teh; Yi Wen Kerk; Kai Meng Tay; Chee Peng Lim (IEEE Trans. Fuzzy Syst., 2018)

Monotone Interval Fuzzy Inference Systems. - Yi Wen Kerk; Kai Meng Tay; Chee Peng Lim (IEEE Trans. Fuzzy Syst., 2019)

A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. - Lie Meng Pang; Kai Meng Tay; Chee Peng Lim; Hisao Ishibuchi (IEEE Access, 2020)

Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function. - Yi Wen Kerk; Chin Ying Teh; Kai Meng Tay; Chee Peng Lim (IEEE Trans. Fuzzy Syst., 2021)

Monotone Fuzzy Rule Interpolation for Practical Modeling of the Zero-Order TSK Fuzzy Inference System. - Yi Wen Kerk; Kai Meng Tay; Chee Peng Lim (IEEE Trans. Fuzzy Syst., 2022)

Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions. - Chian Haur Jong; Kai Meng Tay; Yi Wen Kerk; Chee Peng Lim (FUZZ, 2023)

A New Transmission Cause and Effect Analysis (TCEA) Approach to Risk Management for Non-Healthcare Context: A Case Study on COVID-19. - Yi Wen Kerk; Kai Meng Tay; Chian Haur Jong; Chee Shee Chai; Chee Peng Lim (SMC, 2024)

On Ordered Weighted Averaging Operator and Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems. - Yi Wen Kerk; Kai Meng Tay; Chian Haur Jong; Chee Peng Lim (IEEE Trans. Cybern., 2025)