Recent Papers

• Guangming Lang,Duoqian Miao,Hamido Fujita.Three-way group conflict analysis based on pythagorean fuzzy set theory.IEEE Transactions on Fuzzy Systems. 2020,28(3):447-461
• Wenjie Wei, Duoqian Miao, Yuxiang Li, A bibliometric profile of research on rough sets. IJCRS 2019, LNAI 11499, 534-548.
• Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue, Multigranulation rough-fuzzy clustering based on shadowed sets. Information Sciences. 2020,507:553-573.
• Xiaodong Yue, Yufei Chen, Duoqian Miao, Hamido Fujita. Fuzzy neighborhood covering for three-way classification. Information Sciences. 2020, 507: 795-808.
• Ziye Wang, Duoqian Miao, Cairong Zhao, Sheng Luo, Zhihua Wei. A pedestrian tracking algorithm based on multi-granularity feature. Journal of Computer REsearch and Development. 2020, 57(5);996-1002.
• Yumin Chen, Duoqian Miao. Granular regression with a gradient descent method. Information Sciences. 2020,537:247-260.
• Baizhen Li, Zhihua Wei, Duoqian Miao, Nan Zhang, WenShen, Chang Gong, Hongyun Zhang, Lijun Sun. Improved general attribute reduction algorithms. Information Sciences. 2020, 536:298-316.
• Caihui Liu, Kecan Cai, Duoqian Miao, Jin Qian. Novel matrix-based approaches to computing minimal and maximal descriptions in covering-based rough sets. Information Sciences. 2020, 539:312-326.
• Yuanjian Zhang, Duoqian Miao, Witold Pedrycz, Tianna Zhao, Jianfeng Xu, Ying Yu. Granular structure-based incremental updating for multi-label classification. Knowledge-based Systems. 2020, 189: article no. 105066.
• Sheng Luo, Duoqian Miao, Zhifei Zhang, Zhihua Wei. Non-numerical nearest neighbor classifiers with value-object hierarchical embedding. Expert Systems with Applications. 2020, 150. article no. 113206.
• Sheng Luo, Duoqian Miao, Zhifei Zhang, Yuanjian Zhang, Shengdan Hu. A neighborhood rough set model with nominal metric embedding. Information Sciences. 2020, 520: 373-388.
• Jin Qian,Caihui Liu,Duoqian Miao,Xiaodong Yue.Sequential three-way decisions via multi-granularity.Information Sciences. 2020，507：606-629.
• Hongyun Zhang,Ting Zhang,Peipei Wang,Zhihua Wei.Multi-granularity principal curves extraction based on improved spectral clustering of complex distribution data.International Journal of Approxiamte Reasoning,2019,105:356-367.
• Changming Zhu,Duoqian Miao.Entropy‑based multi‑view matrix completion for clustering with side information.Pattern Analysis and Applications,2020, 23:359-370.
• Changming Zhu,Duoqian Miao.Semi-supervised one-pass multi-view learning with variable features and views.Neural Processing Letters,2019,50(1):189-226.
• Ning Yao,Duoqian Miao.Identification of structures and causation in flow graphs.Information Sciences,2019,486:287–309.

Chinese Papers

• Ziye Wang, Duoqian Miao, Cairong Zhao, Sheng Luo, Zhihua Wei. A pedestrian tracking algorithm based on multi-granularity feature. Journal of Computer Research and Development. 2020, 57(5): 996-1002
• Yuming Chen,Duoqian Miao.Searching algorithm for attribute reduction based on power graph.Chinese Journal of Computers,2009,32(8):1486-1492.
• Jin Qian,Duoqian Miao,Zehua Zhang.Knowledge reduction algorithms in cloud computing.Chinese Journal of Computers,2011,34(12):2332-2343.
• Duoqian Miao,Feifei Xu,Yiyu Yao,Lai Wei.Set-theoretic formulation of granular computing.Chinese Journal of Computers,2012,35(2):351-363.
• Feifei Xu,Jingsheng Lei,Zhongqin Bi,Duoqian Miao,Haizhou Du.Approaches to approximate reduction with interval-valued multi-decision tables in big data.Journal of Software,2014,25(9):2119-2135.
• Nan Zhang,Duoqian Miao,Xiaodong Yue.Approaches to knowledge reduction in interval-valued information systems.Journal of Computer Reserach and Development,2010,47(8):1362-1371.
• Lai Wei,Duoqian Miao,Feifei Xu,Fuchun Xia.Reserach on a covering rough fuzzy set model.Journal of Computer Research and Development,2006,43(10):1719-1723.
• Wei Zhang,Duoqian Miao,Can Gao,Xiaodong Yue.A neighborhood rough sets-based co-training model for classification.Journal of Computer Research and Development,2014,55(8):1811-1820.
• Dayong Deng,Duoqian Miao,Houkuan Wang.Analysis of concept drifting and uncertainty in an information table.Journal of Computer Research and Development,2016,53(11):2607-2612.
• Dayong Deng,Huanhuan Xue,Duoqian Miao,Kewen Liu.Study on criteria of attribute reduction and information loss of attribute reduction.ACTA Eletronica Sinica,2017,45(2):401-407.
• Feng Li,Duoqian Miao,Zhifei Zhang,Wei Zhang.Mutual information based granular feature weighted k-neareset neighbors algorithm for multi-label learning.Journal of Computer Research and Development,2017,54(5):1024-1035.
• Duoqian Miao,Jie Zhou,Nan Zhang,Qinrong Feng,Ruizhi Wang.Research of attribute reduction based on algebraic equations.ACTA Electronica Sinica,2010,38(5):1021-1027.
• Duoqian Miao,Jue Wang.An information representation of the concepts and operations in rough set theory.Journal of Software,1999,10:113-116.
• Jue Wang,Ren Wang,Duoqian Miao,Meng Guo,et al.Data enriching based on rough set theory.Chinese Journal of Computers,1998,21:393-400.
• Duoqian Miao,Guirong Hu.A heuristic algorithm for knowledge reduction.Journal of Computer Research and Development,1999,36:681-684.
• Zhao Han,Duoqian Miao,Fuji Ren,Hongyun Zhang.Rough set knowledge discovery based open domain Chinese question answering retrieval.Journal of Computer Rsearch and Development,2018,55:958-967.
• Dayong Deng,Kewen Lu,Duoqian Miao,Houkuan Huang.Study on entire-granulation rough sets and concept drifting in a knowledge system.Chinese Journal of Computers,2019,42:85-97.
• Sheng Luo,Duoqian Miao,Zhifei Zhang,Yuanjian Zhang,Shengdan Hu.A link prediction model based on hierarchical information granular representation for attributed graphs.Journal of Computer Research and Development,2019,56:623-634.

English Papers

• Wenjie Wei, Duoqian Miao, Yuxiang Li, A bibliometric profile of research on rough sets. IJCRS 2019, LNAI 11499, 534-548.
• Xiaodong Yue, Yufei Chen, Duoqian Miao, Hamido Fujita, Fuzzy neighborhood covering for three-way classification. Information Sciences. 2020,507:795-808
• Yumin Chen, Duoqian Miao. Granular regression with a gradient descent method. Information Sciences. 2020,537: 247-260.
• Baizhen Li, Zhihua Wei, Duoqian Miao, Nan Zhang, Wen Shen, Chang Gong, Hongyun Zhang, Lijun Sun. Improved general attribute reduction algorithms. Information Sciences. 2020, 536: 298-316
• Caihui Liu, Kecan Cai, Duoqian Miao, Jin Qian. Novel matrix-based approaches to computing minimal and maximal descriptions in covering-based rough sets. Information Sciences. 2020,539: 312-326
• Yuanjian Zhang, Duoqian Miao, Witold Pedrycz, Tianna Zhao, Jianfeng Xu, Ying Yu. Granular structure-based incremental updating for multi-label classification. Knowledge-based Systems. 2020, 189: 105066
• Sheng Luo, Duoqian Miao, Zhifei Zhang, Zhihua Wei. Non-numerical nearest neighbor classifiers with value-object hierarchical embedding. Expert Systems with Applications. 2020, 150, article no. 113206.
• Sheng Luo, Duoqian Miao, Zhifei Zhang, Yuanjian Zhang, Shengdan Hu. A neighborhood rough set model with nominal metric embedding. Information Sciences. 2020, 520: 373-388.
• Ning Yao,Duoqian Miao,Zhifei Zhang,Guangming Lang.Probabilistic estimation for generalized rough modus ponens and rough modus tollens.IJCRS 2016,166-176.
• Wei Yang,Duoqian Miao,Qinrong Feng.Rules mining in hierarchical rough sets.GrC 2012,716-719.
• Zehua Zhang,Duoqian Miao,Jin Qian.Hierarchical qualitative inference model with substructures.RSKT 2011,753-762.
• Ying Yu,Duoqian Miao,Zhifei Zhang,Lei Wang.Multi-label classification using rough sets.RSFDGrC 2013,LNAI 8170,119–126.
• Guangming Lang,Duoqian Miao,Mingjie Cai,Zhifei Zhang.Incremental approaches for updating reducts in dynamic covering information systems.Knowledge-Based Systems,2017,134:85-104.
• Jin Qian,Caihui Liu,Duoqian Miao,Xiaodong Yue.Sequential three-way decisions via multi-granularity.Information Sciences. (accepted)
• Xianyong Zhang,Duoqian Miao.Quantitative/qualitative region-change uncertainty/certainty in attribute reduction: Comparative region-change analyses based on granular computing.Information Sciences,2016,334-335:174-204.
• Xiangping Kang,Duoqian Miao.A study on information granularity in formal concept analysis based on concept-bases.Knowledge-Based Systems,2016,105:147-159.
• Xiangping Kang,Duoqian Miao.A variable precision rough set model based on the granularity of tolerance relation.Knowledge-Based Systems,2016,102:103-115.
• Guangming Lang,Duoqian Miao,Mingjie Cai.Three-way decision approaches to conflict analysis using decision-theoretic rough set theory.Information Sciences,2017,406-407:185-207.
• Pawan Lingras,Min Chen,Duoqian Miao.Rough cluster quality index based on decision theory.IEEE Transactions on Knowledge and Data Engineering,2009,21(7):1014-1026.
• Yi Cheng,Duoqian Miao,Qinrong Feng.Positive approximation and converse approximation in interval-valued fuzzy rough sets.Information Sciences,2011,181(11):2086-2110.
• Yi Cheng,Duoqian Miao.Rule extraction based on granulation order in interval-valued fuzzy information system.Expert Systems with Applications,2011,38(10):12249-12261.
• Duoqian Miao,Qiguo Duan,Hongyun Zhang,Na Jiao.Rough set based hybrid algorithm for text classification.Expert Systems with Applications,2009,36(5):8932-8937.
• Duoqian Miao,Yan Zhao,Yiyu Yao,Huaxiong Li,Feifei Xu.Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model.Information Sciences,2009,179(24):4140-4150.
• Hongyun Zhang,Ting Zhang,Peipei Wang,Zhihua Wei.Multi-granularity principal curves extraction based on improved spectral clustering of complex distribution data.International Journal of Approxiamte Reasoning,2019,105:356-367.
• Hongyun Zhang,Jie Zhou,Duoqian Miao,Can Gao.Bayesian rough set model: A further investigation.International Journal of Approximate Reasoning,2012,53(4):541-557.
• Xiaodong Yue,Duoqian Miao,Nan Zhang,Longbing Cao,Qing Wu.Multiscale roughness measure for color image segmentation.Information Sciences,2012,216:93-112.
• Caihui Liu,Duoqian Miao,Nan Zhang.Graded rough set model based on two universes and its properties.Knowledge-Based Systems,2012,33:65-72.
• Caihui Liu,Duoqian Miao,Jin Qian.On multi-granulation covering rough sets.International Journal of Approximate Reasoning,2014,55:1404-1418.
• Duoqian Miao,Can Gao,Nan Zhang,Zhifei Zhang.Diverse reduct subspaces based co-training for partially labeled data.International Journal of Approximate Reasoning,2011,52(8):1103-1117.
• Can Gao,Witold Pedrycz,Duoqian Miao.Rough subspace-based clustering ensemble for categorical data.Soft Computing,2013,17:1-16.
• Jie Zhou,Duoqian Miao,Witold Pedrycz,Hongyun Zhang.Analysis of alternative objective functions for attribute reduction in complete decision tables.Soft Computing,2011,15(8):1601-1616.
• Jie Zhou,Duoqian Miao.β-Interval attribute reduction in variable precision rough set model.Soft Computing,2011,15(8):1643-1656.
• Jie Zhou,Witold Pedrycz,Duoqian Miao.Shadowed sets in the characterization of rough-fuzzy clustering.Pattern Recognition,2011,44(8):1738-1749.
• Qinrong Feng,Duoqian Miao,Yi Cheng.Hierarchical decision rules mining.Expert Systems with Applications,2010,37(3):2081-2091.
• Ying Yu,Witold Pedrycz,Duoqian Miao.Neighborhood rough sets based multi-label classification for automatic image annotation.International Journal of Approximate Reasoning,2013,54:1373-1387.
• Xianyong Zhang,Duoqian Miao.Quantitative information architecture, granular computing and rough set models in the double-quantitative approximation space of precision and grade.Information Sciences,2014,268:147-168.
• Xianyong Zhang,Duoqian Miao.Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing.International Journal of Approximate Reasoning,2013,54(8):1130-1148.
• Xianyong Zhang,Duoqian Miao.Double-quantitative fusion of accuracy and importance: Systematic measure mining, benign integration construction, hierarchical attribute reduction.Knowledge-Based Systems,2016,91:219-240.
• Xianyong Zhang,Duoqian Miao.Three-layer granular structures and three-way informational measures of a decision table.Information Sciences,2017,412-413:67-86.
• Yuming Chen,Duoqian Miao,Ruizhi Wang,Keshou Wu.A rough set approach to feature selection based on power set tree.Knowledge-Based Systems,2011,24(2):275-281.
• Yuming Chen,Duoqian Miao,Ruizhi Wang.A rough set approach to feature selection based on ant colony optimization.Pattern Recognition Letters,2010,31(3):226-233.
• Guangming Lang,Mingjie Cai,Hamido Fujita,Qimei Xiao.Related families-based attribute reduction of dynamic covering decision information systems.Knowledge-based Systems,2018,162:161-173.
• Duoqian Miao,Lishan Hou.A comparison of rough set methods and representative inductive learning algorithms.Fundamenta Informaticae,2004,59(2-3):203-219.
• Hongyun Zhang,Witold Pedrycz,Duoqian Miao,Zhihua Wei.From principal curves to granular principal curves.IEEE Transactions on Cybernetics,2014,44(6):748-760.
• Xianyong Zhang,Duoqian Miao.Reduction target structure-based hierarchical attribute reduction for two-category decision-theoretic rough sets.Information Sciences,2014,277:755-776.
• Jin Qian,Duoqian Miao,Zehua Zhang,Xiaodong Yue.Parallel attribute reduction algorithms using MapReduce.Information Sciences,2014,279:671-690.
• Xianyong Zhang,Duoqian Miao.Region-based quantitative and hierarchical attribute reduction in the two-category decision theoretic rough set model.Knowledge-Based Systems,2014,71:146-161.
• Pawan Lingras,Min Chen,Duoqian Miao.Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations.International Journal Approximation Reasoning,2014,55(1):238-258.
• Ying Yu,Witold Pedrycz,Duoqian Miao.Multi-label classification by exploiting label correlations.Expert Systems with Applications,2014,41:2989-3004.
• Yiyu Yao,Nan Zhang,Duoqian Miao,Feifei Xu.Set-theoretic Approaches to Granular Computing.Fundamenta Informaticae,2012,115(2-3):247-264.
• Hongyun Zhang,Witold Pedrycz,Duoqian Miao,Caiming Zhong.A global structure-based algorithm for detecting the principal graph from complex data.Pattern Recognition,2013,46(6):1638-1647.
• Yuming Chen,Duoqian Miao,Hongyun Zhang.Neighborhood outlier detection.Expert Systems with Applications,2010,37(12):8745-8749.
• Na Jiao,Duoqian Miao,Jie Zhou.Two novel feature selection methods based on decomposition and composition.Expert Systems with Applications,2010,37(12):7419-7426.
• Xiaohong Zhang,Duoqian Miao,Caihui Liu,Meilong Le.Constructive methods of rough approximation operators and multigranulation rough sets.Knowledge-Based Systems,2016,91:114-125.
• Guangming Lang,Duoqian Miao,Tian Yang,Mingjie Cai.Knowledge reduction of dynamic covering decision information systems when varying covering cardinalities.Information Sciences,2016,346:236-260.
• Feng Li,Duoqian Miao,Witold Pedcryz.Granular multi-label feature selection based on mutual information.Pattern Recognition,2017,67:410-423.
• Jianfeng Xu,Duoqian Miao,Yuanjian Zhang,Zhifei Zhang.A three-way decisions model with probabilistic rouh sets for stream computing.International Journal of Approximate Reasoning,2017,88:1-22.
• Guangming Lang,Duoqian Miao,Hamido Fujita.Three-way group conflict analysis based on pythagorean fuzzy set theory.IEEE Transactions on Fuzzy Systems,2019.DOI: 10.1109/TFUZZ.2019.2908123
• Changming Zhu,Duoqian Miao.Entropy‑based multi‑view matrix completion for clustering with side information.Pattern Analysis and Applications,2019.https://doi.org/10.1007/s10044-019-00797-0
• Changming Zhu,Duoqian Miao.Semi-supervised one-pass multi-view learning with variable features and views.Neural Processing Letters,2019.https://doi.org/10.1007/s11063-019-10037-5
• Jie Zhou,Zhihui Lai,Duoqian Miao,Can Gao,Xiaodong Yue.Multigranulation rough-fuzzy clustering based on shadowed sets.Information Sciences,2018 (in press).
• Jie Zhou,Zhihui Lai,Can Gao,Duoqian Miao,Xiaodong Yue.Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets.Knowledge-Based Systems,2018,160:144-166.
• Xiangping Kang,Duoqian Miao,Guoping Lin,Yong Liu.Relation granulation and algebraic structure based on concept lattice in complex information systems.International Journal of Machine Learning & Cybernetics,2018,9:1895-1907.
• Can Gao,Zhihui Lai,Jie Zhou,Cairong Zhao,Duoqian Miao.Maximum decision entropy-based attribute reduction in decision-theoretic rough set model.Knowledge-Based Systems,2018,143:179-191.
• Cairong Zhao,Xuekuan Wang,Duoqian Miao,Hanli Wang,Weishi Zheng,Yong Xu,David Zhang.Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification.Pattern Recognition,2018,79:79-96.
• Yuanjian Zhang,Duoqian Miao,Zhifei Zhang,Jianfeng Xu,Sheng Luo.A three-way selective ensemble model for multi-label classification.International Journal of Approximate Reasoning,2018,103:394-413.
• Shengdan Hu,Duoqian Miao,Zhifei Zhang,Sheng Luo,Yuanjian Zhang,Guirong Hu.A test cost sensitive heuristic attribute reduction algorithm for partially labeled data.IJCRS 2018,LNAI,257-269.
• Changming Zhu,Chengjiu Mei,Duoqian Miao,Rigui Zhou,Lai Wei,Xiafen Zhang,Min Yao.Universum-based multi-view matrix learning machine.IFUZZY 2018,161-167.
• Ning Yao,Duoqian Miao.Identification of structures and causation in flow graphs.Information Sciences,2019,486:287–309.

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