Lie Meng Pang
Lie Meng Pang
Southern University of Science and Technology
Verified email at sustech.edu.cn
Title
Cited by
Cited by
Year
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
212016
Application of self-organizing map to failure modes and effects analysis methodology
WL Chang, LM Pang, KM Tay
Neurocomputing 249, 314-320, 2017
202017
A new framework of evolutionary multi-objective algorithms with an unbounded external archive
H Ishibuchi, LM Pang, K Shang
TechRxiv, 2020
52020
A new framework with similarity reasoning and monotone fuzzy rule relabeling for fuzzy inference systems
KM Tay, LM Pang, TL Jee, CP Lim
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013
52013
A new monotonicity index for fuzzy rule-based systems
LM Pang, KM Tay, CP Lim
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1566-1570, 2014
42014
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test
YW Kerk, LM Pang, KM Tay, CP Lim
2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), 94-101, 2016
32016
Algorithm configurations of MOEA/D with an unbounded external archive
LM Pang, H Ishibuchi, K Shang
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
22020
A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems
KM Tay, TL Jee, LM Pang, CP Lim
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2013
22013
Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks
LM Pang, H Ishibuchi, K Shang
IEEE Access 8, 163197-163208, 2020
12020
Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization
H Ishibuchi, LM Pang, K Shang
arXiv preprint arXiv:2006.08156, 2020
12020
Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets
H Ishibuchi, LM Pang, K Shang
arXiv preprint arXiv:2012.07319, 2020
2020
NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems
LM Pang, H Ishibuchi, K Shang
IEEE Access 8, 190240-190250, 2020
2020
Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms
H Ishibuchi, LM Pang, K Shang
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
2020
Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization
H Ishibuchi, LM Pang, K Shang
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
2020
Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection
W Liao, H Ishibuchi, LM Pang, K Shang
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
2020
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology
LM Pang, KM Tay, CP Lim, H Ishibuchi
IEEE Access 8, 144908-144930, 2020
2020
A Survey on the Hypervolume Indicator in Evolutionary Multi-objective Optimization
K Shang, H Ishibuchi, L He, LM Pang
IEEE Transactions on Evolutionary Computation, 2020
2020
Robust TSK Fuzzy System based on Semi-Supervised Learning for Label Noise Data
T Zhang, Z Deng, H Ishibuchi, LM Pang
IEEE Transactions on Fuzzy Systems, 2020
2020
Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm
LM Pang, H Ishibuchi, K Shang
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1889-1897, 2019
2019
Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA
W Liao, K Shang, LM Pang, H Ishibuchi
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1841-1848, 2019
2019
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Articles 1–20