Fuzzy FMEA with a guided rules reduction system for prioritization of failures KM Tay, CP Lim International Journal of Quality & Reliability Management 23 (8), 1047-1066, 2006 | 361 | 2006 |
Application of the fuzzy failure mode and effect analysis methodology to edible bird nest processing CH Jong, KM Tay, CP Lim Computers and electronics in agriculture 96, 90-108, 2013 | 106 | 2013 |
On the use of fuzzy inference techniques in assessment models: part II: industrial applications KM Tay, CP Lim Fuzzy Optimization and Decision Making 7, 283-302, 2008 | 86 | 2008 |
A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis TL Jee, KM Tay, CP Lim IEEE Transactions on Reliability 64 (3), 869 - 877, 2015 | 77 | 2015 |
A Perceptual Computing-based Method to Prioritize Failure Modes in Failure Mode and Effect Analysis and Its Application to Edible Bird Nest Farming KC Chai, CH Jong, KM Tay, CP Lim Applied Soft Computing 49, 734–747, 2016 | 76 | 2016 |
Enhancing the failure mode and effect analysis methodology with fuzzy inference techniques KM Tay, CP Lim Journal of Intelligent & Fuzzy Systems 21 (1, 2), 135-146, 2010 | 67 | 2010 |
An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis YW Kerk, KM Tay, CP Lim IEEE Systems Journal 11 (3), 1589-1600, 2017 | 51 | 2017 |
On Modelling 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 | 49 | 2018 |
A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry KM Tay, CH Jong, CP Lim Neural Computing and Applications 26 (3), 551-560, 2015 | 47 | 2015 |
Application of Self-Organizing Map to Failure Modes and Effects Analysis Methodology WL Chang, LM Pang, KM Tay Neurocomputing 249, 314–320, 2017 | 46 | 2017 |
On the use of fuzzy inference techniques in assessment models: part I—theoretical properties KM Tay, CP Lim Fuzzy Optimization and Decision Making 7, 269-281, 2008 | 45 | 2008 |
Clustering and visualization of failure modes using an evolving tree WL Chang, KM Tay, CP Lim Expert Systems with Applications 42 (20), 7235–7244, 2015 | 42 | 2015 |
Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System LM Pang, KM Tay, CP Lim IEEE Transactions on Fuzzy Systems 24 (6), 1455 - 1463, 2016 | 37 | 2016 |
On monotonic sufficient conditions of fuzzy inference systems and their applications KM Tay, CP Lim International journal of uncertainty, fuzziness and knowledge-based systems …, 2011 | 34 | 2011 |
A new method to rank fuzzy numbers using Dempster–Shafer theory with fuzzy targets KC Chai, KM Tay, CP Lim Information Sciences 346, 302-317, 2016 | 32 | 2016 |
A fuzzy inference system-based criterion-referenced assessment model KM Tay, CP Lim Expert Systems with Applications 38 (9), 11129-11136, 2011 | 32 | 2011 |
Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives AJ Sang, KM Tay, CP Lim, S Nahavandi IEEE Access 6, 74628 - 74647, 2018 | 31 | 2018 |
A new fuzzy peer assessment methodology for cooperative learning of students KC Chai, KM Tay, CP Lim Applied Soft Computing 32, 468-480, 2015 | 31 | 2015 |
Application of fuzzy inference techniques to FMEA KM Tay, CP Lim Applied soft computing technologies: The challenge of complexity, 161-171, 2006 | 31 | 2006 |
Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of fuzzy inference systems KM Tay, CP Lim 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 1219-1224, 2011 | 25 | 2011 |