Kai Meng Tay
Orcid: 0000-0002-0076-6167
According to our database1,
Kai Meng Tay
authored at least 53 papers
between 2004 and 2023.
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Bibliography
2023
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
2022
Monotone Fuzzy Rule Interpolation for Practical Modeling of the Zero-Order TSK Fuzzy Inference System.
IEEE Trans. Fuzzy Syst., 2022
2021
Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function.
IEEE Trans. Fuzzy Syst., 2021
2020
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology.
IEEE Access, 2020
2019
2018
On Modeling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems Using a System Identification Framework.
IEEE Trans. Fuzzy Syst., 2018
On the Monotonicity Property of the TSK Fuzzy Inference System: The <i>Necessity of the Sufficient Conditions</i> and the <i>Monotonicity Test</i>.
Int. J. Fuzzy Syst., 2018
Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives.
IEEE Access, 2018
2017
An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis.
IEEE Syst. J., 2017
A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization.
Neural Process. Lett., 2017
Application of self-organizing map to failure modes and effects analysis methodology.
Neurocomputing, 2017
A Fuzzy Adaptive Resonance Theory-Based Model for Mix Proportion Estimation of High-Performance Concrete.
Comput. Aided Civ. Infrastructure Eng., 2017
Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
IEEE Trans. Fuzzy Syst., 2016
Inf. Sci., 2016
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., 2016
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis.
IEEE Trans. Reliab., 2015
A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry.
Neural Comput. Appl., 2015
Expert Syst. Appl., 2015
Appl. Soft Comput., 2015
2014
Proceedings of the 9th International Conference on System of Systems Engineering, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
A Fuzzy ART-Based Approach for Estimation of High Performance Concrete Mix Proportion.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Building fuzzy inference systems with similarity reasoning: NSGAII-based fuzzy rule selection and evidential functions.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
A new fuzzy criterion-referenced assessment with a fuzzy rule selection technique and a monotonicity-preserving similarity reasoning scheme.
J. Intell. Fuzzy Syst., 2013
Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property.
Proceedings of the FUZZ-IEEE 2013, 2013
A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2013, 2013
A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2013, 2013
Monotonicity preserving SIRMs-connected fuzzy inference systems with a new monotonicity index: Learning and tuning.
Proceedings of the FUZZ-IEEE 2013, 2013
Enhancing an Evolving Tree-based text document visualization model with Fuzzy c-Means clustering.
Proceedings of the FUZZ-IEEE 2013, 2013
Proceedings of the FUZZ-IEEE 2013, 2013
2012
A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems.
J. Intell. Fuzzy Syst., 2012
J. Adv. Comput. Intell. Intell. Informatics, 2012
Proceedings of the FUZZ-IEEE 2012, 2012
Building monotonicity-preserving Fuzzy Inference models with optimization-based similarity reasoning and a monotonicity index.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique.
J. Adv. Comput. Intell. Intell. Informatics, 2011
On Monotonic sufficient conditions of Fuzzy Inference Systems and their Applications.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011
Expert Syst. Appl., 2011
Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2011, 2011
An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems.
Proceedings of the FUZZ-IEEE 2011, 2011
2010
Enhancing the Failure Mode and Effect Analysis methodology with fuzzy inference techniques.
J. Intell. Fuzzy Syst., 2010
Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application.
Proceedings of the European Conference on Modelling and Simulation, 2010
2009
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009
On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models.
Proceedings of the FUZZ-IEEE 2009, 2009
2008
On the use of fuzzy inference techniques in assessment models: part II: industrial applications.
Fuzzy Optim. Decis. Mak., 2008
On the use of fuzzy inference techniques in assessment models: part I - theoretical properties.
Fuzzy Optim. Decis. Mak., 2008
2004
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004