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    Author information
    First name: Eric C. C.
    Last name: Tsang
    DBLP: 24/407
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    Below you find the publications which have been written by this author.

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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
    Yanting Guo, Eric C. C. Tsang, Weihua Xu.
    A weighted multi-granulation decision-theoretic approach to multi-source decision systems.
    2017 International Conference on Machine Learning and Cybernetics, ICMLC 2017, Ningbo, China, July 9-12, 2017 2017 (0) 2017
    Conference paper
    Eric C. C. Tsang, Fan Xingqi, Xuefeng Li, Suyun Zhao.
    Weights based ranked fuzzy rough reduction.
    2017 International Conference on Machine Learning and Cybernetics, ICMLC 2017, Ningbo, China, July 9-12, 2017 2017 (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
    Show item 1 to 25 of 94  

    Your query returned 94 matches in the database.