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[2] Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang. Set-Based Granular Computing: a Lattice Model, International Journal of Approximate Reasoning, 2014, 55(3):834–852.

[3] Yuhua Qian, Shunyong Li, Jiye Liang, Zhongzhi Shi, Feng Wang. Pessimistic rough set based decisions: A multigranulation fusion strategy, Information Sciences, 2014, 264:196–210.

[4] Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang. Trend analysis of categorical data streams with a concept change method, Information Sciences, 2014, 276:160–173.

[5] Liang Bai, Jiye Liang. The k-modes type clustering plus between-cluster information for categorical data, Neurocomputing, 2014, 133:111–121.

[6] Yanhong Li, Deyu Li, Suge Wang, Yanhui Zhai. Incremental entropy-based clustering on categorical data streams with concept drift, Knowledge-Based Systems, 2014, 59:33-47.

[7] Xuefei Bai, Wenjian Wang. Saliency-SVM: An automatic approach for image segmentation, Neurocomputing, 2014, 136:243–255.

[8] Baoli Wang, Jiye Liang, Yuhua Qian. Preorder information based attributes weights learning in multi-attribute decision making, Fundamenta Informaticae, 2014, 132:331-347.

[9] Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian. A group incremental approach to feature selection applying rough set technique, IEEE Transactions on Knowledge and Data Engineering, 2014, 26(2):294 - 308.

[10] Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang. Multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2014, 55:225-237.

[11] Xin Liu, Yuhua Qian, Jiye Liang. A rule-extraction framework under multigranulation rough sets, International Journal of Machine Learning and Cybernetics, 2014, 5(2):319-326.

[12] Qian Chen, Zhiguo Gui, Xin Guo. Research on Online Topic Evolution Pattern Mining in Text Streams, Journal of Multimedia, 2014, 9(6):789-795.

[13] Li Li, Guang Zhang, Gui-Quan Sun, Zhi-Jun Wang. Existence of periodic positive solutions for a competitive system with two parameters, Journal of Difference Equations and Applications, 2014, 20:341–353.

[14] Hua Li, Deyu Li, Yanhui Zhai, Suge Wang, Jing Zhang. A variable precision attribute reduction approach in multilabel decision tables, The Scientific World Journal, 2014, 2014:1-7.

[15] Shiying Wang, Kai Feng. Fault tolerance in the arrangement graphs, Theoretical Computer Science, 2014, 533:64-71.

[16] Kai Feng, Shiying Wang. Strong matching preclusion for two-dimensional torus networks, International Journal of Computer Mathematics, 2014, DOI:10.1080/00207160.2014.913034.

[17] Guoping Lin, Jiye Liang, Yuhua Qian. Topological approach to multigranulation rough sets, International Journal of Machine Learning and Cybernetics, 2014, 5(2):233-243.

[18] Feng Cao, Yong Ge, Jinfeng Wang. Spatial data discretization methods for geocomputation, International Journal of Applied Earth Observation and Geoinformation, 2014, 26:432-440.

[19] Shiying Wang, Kai Feng. Strong matching preclusion for torus networks, Theoretical Computer Science, 2014, 520:97-110.

[20] Xingwang Zhao, Jiye Liang, Fuyuan Cao. A simple and effective outlier detection algorithm for categorical data, International Journal of Machine Learning and Cybernetics, 2014, 5(3):469–477.

[21] Xiangping Kang, Deyu Li. Dependency space, closure system and rough set theory, International Journal of Machine Learning and Cybernetics, 2014, 4(6):595-599.

[22] 姜高霞, 王文剑. 时序数据曲线排齐的相关性分析方法, 软件学报, 2014, 9:2002-2017.

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