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    First name: Eric C. C.
    Last name: Tsang
    DBLP: 24/407
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    Journal article
    Chenxia Jin, Fachao Li, Eric C. C. Tsang, Larisa Bulysheva, Mikhail Kataev.
    A new compound arithmetic crossover-based genetic algorithm for constrained optimisation in enterprise systems.
    Enterprise IS 2017, Volume 11 (0) 2017
    Conference paper
    Hong Zhu, Eric C. C. Tsang, Xizhao Wang, Rana Aamir Raza.
    Monotonic classification extreme learning machine.
    Neurocomputing 2017, Volume 225 (0) 2017
    Journal article
    Bingjiao Fan, Eric C. C. Tsang, Weihua Xu, Jianhang Yu.
    Double-quantitative rough fuzzy set based decisions: A logical operations method.
    Inf. Sci. 2017, Volume 378 (0) 2017
    Conference paper
    Xiaoxia Zhang, Degang Chen, Eric C. C. Tsang.
    Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems.
    Inf. Sci. 2017, Volume 378 (0) 2017
    Journal article
    Yan-Yan Yang, Degang Chen, Hui Wang, Eric C. C. Tsang, Deli Zhang.
    Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving.
    Fuzzy Sets and Systems 2017, Volume 312 (0) 2017
    Journal article
    Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang.
    Minimal decision cost reduct in fuzzy decision-theoretic rough set model.
    Knowl.-Based Syst. 2017, Volume 126 (0) 2017
    Conference paper
    Eric C. C. Tsang, Bingzhen Sun, Weimin Ma.
    General relation-based variable precision rough fuzzy set.
    Int. J. Machine Learning Cybernetics 2017, Volume 8 (0) 2017
    Journal article
    Chen Hao, Jinhai Li, Min Fan, Wenqi Liu, Eric C. C. Tsang.
    Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions.
    Inf. Sci. 2017, Volume 415 (0) 2017
    Journal article
    Patrick P. K. Chan, Zhe Lin, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung.
    Sensitivity based robust learning for stacked autoencoder against evasion attack.
    Neurocomputing 2017, Volume 267 (0) 2017
    Conference paper
    Eric C. C. Tsang, Qinghua Hu, Degang Chen.
    Feature and instance reduction for PNN classifiers based on fuzzy rough sets.
    Int. J. Machine Learning Cybernetics 2016, Volume 7 (0) 2016
    Conference paper
    Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, Eric C. C. Tsang.
    Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification.
    IEEE T. Cybernetics 2016, Volume 46 (0) 2016
    Conference paper
    Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang.
    Minimum decision cost reduct for fuzzy decision-theoretic rough set model.
    International Conference on Machine Learning and Cybernetics, ICMLC 2016, Jeju Island, South Korea, July 10-13, 2016 2016 (0) 2016
    Conference paper
    Suping Xu, Xibei Yang, Eric C. C. Tsang, Eric A. Mantey.
    Neighborhood collaborative classifiers.
    International Conference on Machine Learning and Cybernetics, ICMLC 2016, Jeju Island, South Korea, July 10-13, 2016 2016 (0) 2016
    Conference paper
    Eric C. C. Tsang, Su-Yun Zhao.
    Random analysis of statistical rough set.
    International Conference on Machine Learning and Cybernetics, ICMLC 2016, Jeju Island, South Korea, July 10-13, 2016 2016 (0) 2016
    Conference paper
    Suping Xu, Xibei Yang, Hualong Yu, Dong-Jun Yu, Jing-Yu Yang, Eric C. C. Tsang.
    Multi-label learning with label-specific feature reduction.
    Knowl.-Based Syst. 2016, Volume 104 (0) 2016
    Conference paper
    Eric C. C. Tsang, Changzhong Wang, Yang Du, Qiang He.
    Basic properties of fuzzy approximation operators under consistent functions.
    2015 International Conference on Machine Learning and Cybernetics, ICMLC 2015, Guangzhou, China, July 12-15, 2015 2015 (0) 2015
    Conference paper
    Eric C. C. Tsang, Suyun Zhao.
    The comparative study of fuzzy rough reduction.
    2015 International Conference on Machine Learning and Cybernetics, ICMLC 2015, Guangzhou, China, July 12-15, 2015 2015 (0) 2015
    Conference paper
    Eric C. C. Tsang, Jing-Duo Jie, Chenxia Jin.
    A method to fuzzy multi-objective problems under random environment.
    2015 International Conference on Machine Learning and Cybernetics, ICMLC 2015, Guangzhou, China, July 12-15, 2015 2015 (0) 2015
    Conference paper
    Eric C. C. Tsang, Suyun Zhao.
    A Fast Algorithm to Building a Fuzzy Rough Classifier.
    Machine Learning and Cybernetics - 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings 2014 (0) 2014
    Conference paper
    Qin Qing, Eric C. C. Tsang.
    Face Recognition Using Genetic Algorithm.
    Machine Learning and Cybernetics - 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings 2014 (0) 2014
    Journal article
    Suyun Zhao, Xizhao Wang, Degang Chen, Eric C. C. Tsang.
    Nested structure in parameterized rough reduction.
    Inf. Sci. 2013, Volume 248 (0) 2013
    Conference paper
    Eric C. C. Tsang, Changzhong Wang, Degang Chen, Congxin Wu, Qinghua Hu.
    Communication Between Information Systems Using Fuzzy Rough Sets.
    IEEE T. Fuzzy Systems 2013, Volume 21 (0) 2013
    Conference paper
    Eric C. C. Tsang, Ming-Wen Shao.
    Attribute reduction and attribute characteristics of formal contexts.
    International Conference on Machine Learning and Cybernetics, ICMLC 2013, Tianjin, China, July 14-17, 2013 2013 (0) 2013
    Conference paper
    Eric C. C. Tsang, Suyun Zhao.
    The topological structure in parameterized rough sets.
    International Conference on Machine Learning and Cybernetics, ICMLC 2013, Tianjin, China, July 14-17, 2013 2013 (0) 2013
    Conference paper
    Eric C. C. Tsang, Bingzhen Sun.
    Generalized variable precision probabilistic rough set.
    International Conference on Machine Learning and Cybernetics, ICMLC 2013, Tianjin, China, July 14-17, 2013 2013 (0) 2013
    Conference paper
    Eric C. C. Tsang, Weimin Ma, Bingzhen Sun.
    Variable precision rough fuzzy set model based on general relations.
    International Conference on Machine Learning and Cybernetics, ICMLC 2012, Xian, Shaanxi, China, July 15-17, 2012, Proceedings 2012 (0) 2012
    Conference paper
    Eric C. C. Tsang, S. Y. Zhao.
    Attribute reduction based on interval valued fuzzy granules.
    International Conference on Machine Learning and Cybernetics, ICMLC 2012, Xian, Shaanxi, China, July 15-17, 2012, Proceedings 2012 (0) 2012
    Conference paper
    Eric C. C. Tsang, Chen-Xia Jin, Degang Chen, Fachao Li.
    An attribute reduction method based on core samples set.
    International Conference on Machine Learning and Cybernetics, ICMLC 2012, Xian, Shaanxi, China, July 15-17, 2012, Proceedings 2012 (0) 2012
    Conference paper
    Eric C. C. Tsang, Suyun Zhao, Cai-Li Zhou.
    A property of reductions in Fuzzy Variable Precision Rough Set model.
    International Conference on Machine Learning and Cybernetics, ICMLC 2011, Guilin, China, July 10-13, 2011, Proceedings 2011 (0) 2011
    Journal article
    Eric C. C. Tsang, Suyun Zhao.
    Decision Table Reduction in KDD: Fuzzy Rough Based Approach.
    Transactions on Rough Sets XI 2010, Volume 5946 (0) 2010
    Conference paper
    De-Gang Chen, Xiao Zhang, Eric C. C. Tsang, Yong-Ping Yang.
    Sample selection with rough set.
    International Conference on Machine Learning and Cybernetics, ICMLC 2010, Qingdao, China, July 11-14, 2010, Proceedings 2010 (0) 2010
    Conference paper
    Suyun Zhao, Eric C. C. Tsang, Degang Chen, Xizhao Wang.
    Building a Rule-Based ClassifierA Fuzzy-Rough Set Approach.
    IEEE Trans. Knowl. Data Eng. 2010, Volume 22 (0) 2010
    Conference paper
    Suyun Zhao, Eric C. C. Tsang, Degang Chen.
    The Model of Fuzzy Variable Precision Rough Sets.
    IEEE T. Fuzzy Systems 2009, Volume 17 (0) 2009
    Journal article
    Eric C. C. Tsang, Degang Chen, Daniel S. Yeung.
    Approximations and reducts with covering generalized rough sets.
    Computers Mathematics with Applications 2008, Volume 56 (0) 2008
    Conference paper
    Aki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung.
    A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model.
    IJPRAI 2008, Volume 22 (0) 2008
    Conference paper
    Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang.
    The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine.
    IJPRAI 2008, Volume 22 (0) 2008
    Conference paper
    Suyun Zhao, Eric C. C. Tsang.
    On fuzzy approximation operators in attribute reduction with fuzzy rough sets.
    Inf. Sci. 2008, Volume 178 (0) 2008
    Conference paper
    Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang.
    Feature selection using localized generalization error for supervised classification problems using RBFNN.
    Pattern Recognition 2008, Volume 41 (0) 2008
    Conference paper
    Eric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, J. Lee.
    Attributes Reduction Using Fuzzy Rough Sets.
    IEEE T. Fuzzy Systems 2008, Volume 16 (0) 2008
    Conference paper
    Bo Liu, Zhifeng Hao, Eric C. C. Tsang.
    Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification.
    IEEE Transactions on Neural Networks 2008, Volume 19 (0) 2008
    Book chapter
    Eric C. C. Tsang, QingCai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang.
    Hybridization of Fuzzy and Rough Sets: Present and Future.
    Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision 2008, Volume 220 (0) 2008
    Conference paper
    Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang.
    Sample Reduction for SVMs via Data Structure Analysis.
    2nd IEEE International Conference on System of Systems Engineering, SoSE 2007, San Antonio, TX, USA, 16-18 April 2007 2007 (0) 2007
    Conference paper
    Patrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee.
    Neural network ensemble pruning using sensitivity measure in web applications.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Montréal, Canada, 7-10 October 2007 2007 (0) 2007
    Conference paper
    Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung.
    Stability analysis of a discrete Hopfield neural network with delay.
    Neurocomputing 2007, Volume 70 (0) 2007
    Conference paper
    Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung.
    Convergence Analysis of a Discrete Hopfield Neural Network with Delay and its Application to Knowledge Refinement.
    IJPRAI 2007, Volume 21 (0) 2007
    Conference paper
    Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung.
    Learning fuzzy rules from fuzzy samples based on rough set technique.
    Inf. Sci. 2007, Volume 177 (0) 2007
    Conference paper
    Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang.
    Structured large margin machines: sensitive to data distributions.
    Machine Learning 2007, Volume 68 (0) 2007
    Conference paper
    Defeng Wang, Lin Shi, Daniel S. Yeung, Eric C. C. Tsang, Pheng-Ann Heng.
    Ellipsoidal support vector clustering for functional MRI analysis.
    Pattern Recognition 2007, Volume 40 (0) 2007
    Conference paper
    Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang.
    Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries.
    Soft Comput. 2007, Volume 11 (0) 2007
    Conference paper
    Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang.
    Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network.
    IEEE Transactions on Neural Networks 2007, Volume 18 (0) 2007
    Conference paper
    Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang.
    Weighted Mahalanobis Distance Kernels for Support Vector Machines.
    IEEE Transactions on Neural Networks 2007, Volume 18 (0) 2007
    Conference paper
    Patrick P. K. Chan, Defeng Wang, Eric C. C. Tsang, Daniel S. Yeung.
    Structured Large Margin Machine Ensemble.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, October 8-11, 2006 2006 (0) 2006
    Conference paper
    Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang, Michael Firth.
    Bankruptcy Prediction Using Multiple Classifier System with Mutual Information Feature Grouping.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, October 8-11, 2006 2006 (0) 2006
    Conference paper
    Eric C. C. Tsang, Degang Chen, Suyun Zhao, Qiang He.
    A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, October 8-11, 2006 2006 (0) 2006
    Conference paper
    Degang Chen, Wenxiu Zhang, Daniel S. Yeung, Eric C. C. Tsang.
    Rough approximations on a complete completely distributive lattice with applications to generalized rough sets.
    Inf. Sci. 2006, Volume 176 (0) 2006
    Conference paper
    John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang.
    Rough sets and ordinal reducts.
    Soft Comput. 2006, Volume 10 (0) 2006
    Conference paper
    Zhi-Qiang Liu, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang, John W. T. Lee.
    Preface for the special issue: soft computing in machine learning and cybernetics in the journal
    Soft Comput. 2006, Volume 10 (0) 2006
    Conference paper
    Gloria C. Y. Tsang, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung.
    On attributes reduction with fuzzy rough sets.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Waikoloa, Hawaii, USA, October 10-12, 2005 2005 (0) 2005
    Conference paper
    Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang.
    Quantitative study on the generalization error of multiple classifier systems.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Waikoloa, Hawaii, USA, October 10-12, 2005 2005 (0) 2005
    Conference paper
    Eric C. C. Tsang, Aki P. F. Chan, Daniel S. Yeung, S. S. Qiu.
    Stability Analysis of Discrete Hopfield Neural Networks With Delay and Its Application.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Waikoloa, Hawaii, USA, October 10-12, 2005 2005 (0) 2005
    Conference paper
    Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang.
    A feature space analysis for anomaly detection.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Waikoloa, Hawaii, USA, October 10-12, 2005 2005 (0) 2005
    Conference paper
    Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi.
    Gene Selection Through Sensitivity Analysis of Support Vector Machines.
    Computational Life Sciences, First International Symposium, CompLife 2005, Konstanz, Germany, September 25-27, 2005, Proceedings 2005 (0) 2005
    Conference paper
    Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang.
    Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure.
    Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers 2006 (0) 2005
    Conference paper
    Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng.
    Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection.
    Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers 2006 (0) 2005
    Conference paper
    Degang Chen, Eric C. C. Tsang.
    On the Local Reduction of Information System.
    Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers 2006 (0) 2005
    Conference paper
    Dong-mei Huang, Ming-hu Ha, Ya-min Li, Eric C. C. Tsang.
    Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural Approach.
    Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers 2006 (0) 2005
    Conference paper
    Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang.
    A Covariance Matrix Based Approach to Internet Anomaly Detection.
    Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers 2006 (0) 2005
    Conference paper
    Eric C. C. Tsang, Suyun Zhao, Daniel S. Yeung, John W. T. Lee.
    Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique.
    Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers 2006 (0) 2005
    Conference paper
    Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang.
    Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach.
    Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part III 2005 (0) 2005
    Conference paper
    Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann Heng, Tien-Tsin Wong, Eric C. C. Tsang.
    Support Vector Clustering for Brain Activation Detection.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part I 2005 (0) 2005
    Conference paper
    Degang Chen, Jiashang Jiang, Congxin Wu, Eric C. C. Tsang.
    Some notes on equivalent fuzzy sets and fuzzy subgroups.
    Fuzzy Sets and Systems 2005, Volume 152 (0) 2005
    Conference paper
    Eric C. C. Tsang, Xizhao Wang.
    An Approach To Case-Based Maintenance: Selecting Representative Cases.
    IJPRAI 2005, Volume 19 (0) 2005
    Conference paper
    John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang.
    Hierarchical clustering based on ordinal consistency.
    Pattern Recognition 2005, Volume 38 (0) 2005
    Conference paper
    Daniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang.
    On the generalization of fuzzy rough sets.
    IEEE T. Fuzzy Systems 2005, Volume 13 (0) 2005
    Conference paper
    Qiwen Ran, Daniel S. Yeung, Eric C. C. Tsang, Qi Wang.
    General multifractional Fourier transform method based on the generalized permutation matrix group.
    IEEE Transactions on Signal Processing 2005, Volume 53 (0) 2005
    Conference paper
    Guoliang Qian, Daniel S. Yeung, Eric C. C. Tsang, Wenhao Shu.
    Feature Selection For Chinese Character Recognition Based On Inductive Learning.
    IJPRAI 2004, Volume 18 (0) 2004
    Conference paper
    Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang.
    Handling interaction in fuzzy production rule reasoning.
    IEEE Transactions on Systems, Man, and Cybernetics, Part B 2004, Volume 34 (0) 2004
    Conference paper
    Eric C. C. Tsang, Xi-Zhao Wang.
    Selecting representative cases by generalization capability.
    Proceedings of the IEEE International Conference on Systems, Man Cybernetics: Washington, D.C., USA, 5-8 October 2003 2003 (0) 2003
    Journal article
    Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang.
    OFFSS: optimal fuzzy-valued feature subset selection.
    IEEE T. Fuzzy Systems 2003, Volume 11 (0) 2003
    Conference paper
    Daniel S. Yeung, Hank-Shun Fong, Eric C. C. Tsang, Wenhao Shu, Xiaolong Wang.
    An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters.
    IJPRAI 2003, Volume 17 (0) 2003
    Journal article
    John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang.
    Ordinal fuzzy sets.
    IEEE T. Fuzzy Systems 2002, Volume 10 (0) 2002
    Conference paper
    Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung.
    Tuning certainty factor and local weight of fuzzy production rules by using fuzzy neural network.
    IEEE Transactions on Systems, Man, and Cybernetics, Part B 2002, Volume 32 (0) 2002
    Conference paper
    Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang.
    A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay.
    Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI 2001, Seattle, Washington, USA, August 4-10, 2001 2001 (0) 2001
    Conference paper
    Daniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang.
    A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm.
    International Journal of Computational Intelligence and Applications 2001, Volume 1 (0) 2001
    Conference paper
    Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang.
    A comparative study on heuristic algorithms for generating fuzzy decision trees.
    IEEE Transactions on Systems, Man, and Cybernetics, Part B 2001, Volume 31 (0) 2001
    Conference paper
    Eric C. C. Tsang, Xizhao Wang, Daniel S. Yeung.
    Improving learning accuracy of fuzzy decision trees by hybrid neural networks.
    IEEE T. Fuzzy Systems 2000, Volume 8 (0) 2000
    Conference paper
    Daniel S. Yeung, Simon C. K. Shiu, Eric C. C. Tsang.
    Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri Nets.
    Journal of Intelligent and Fuzzy Systems 1999, Volume 7 (0) 1999
    Conference paper
    Daniel S. Yeung, Eric C. C. Tsang.
    A multilevel weighted fuzzy reasoning algorithm for expert systems.
    IEEE Transactions on Systems, Man, and Cybernetics, Part A 1998, Volume 28 (0) 1998
    Conference paper
    Daniel S. Yeung, Eric C. C. Tsang.
    Weighted fuzzy production rules.
    Fuzzy Sets and Systems 1997, Volume 88 (0) 1997
    Conference paper
    Eric C. C. Tsang, Daniel S. Yeung.
    Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networks.
    Knowledge-Based Intelligent Electronic Systems, 1st International Conference, KES 1997, Adelaide, South Australia, 21-23 May, 1997, Proceedings, Part II 1997 (0) 1997
    Conference paper
    Daniel S. Yeung, Eric C. C. Tsang.
    A comparative study on similarity-based fuzzy reasoning methods.
    IEEE Transactions on Systems, Man, and Cybernetics, Part B 1997, Volume 27 (0) 1997
    Journal article
    Daniel S. Yeung, Eric C. C. Tsang.
    Improved fuzzy knowledge representation and rule evaluation using fuzzy petri nets and degree of subsethood.
    Int. J. Intell. Syst. 1994, Volume 9 (0) 1994
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