Generalized multi-scale decision tables with multi-scale decision attributes
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Weizhong Dai | Jinjin Li | Zhehuang Huang | Rongde Lin | Jinjin Li | Zhehuang Huang | Rongde Lin | Weizhong Dai
[1] Jinhai Li,et al. A local approach to rule induction in multi-scale decision tables , 2015, Knowl. Based Syst..
[2] Hong-Ying Zhang,et al. Three-way group decisions with interval-valued decision-theoretic rough sets based on aggregating inclusion measures , 2019, Int. J. Approx. Reason..
[3] Yiyu Yao,et al. MGRS: A multi-granulation rough set , 2010, Inf. Sci..
[4] Xia Xiao,et al. Three-way group decision making based on multigranulation fuzzy decision-theoretic rough set over two universes , 2017, Int. J. Approx. Reason..
[5] Yuhua Qian,et al. NMGRS: Neighborhood-based multigranulation rough sets , 2012, Int. J. Approx. Reason..
[6] Wei-Zhi Wu,et al. On rule acquisition in incomplete multi-scale decision tables , 2017, Inf. Sci..
[7] Wei-Zhi Wu,et al. On the belief structures and reductions of multigranulation spaces with decisions , 2017, Int. J. Approx. Reason..
[8] Jiye Liang,et al. Knowledge structure, knowledge granulation and knowledge distance in a knowledge base , 2009, Int. J. Approx. Reason..
[9] Bingzhen Sun,et al. Multigranulation rough set theory over two universes , 2015, J. Intell. Fuzzy Syst..
[10] Hamido Fujita,et al. Updating three-way decisions in incomplete multi-scale information systems , 2019, Inf. Sci..
[11] Y. Yao. Information granulation and rough set approximation , 2001 .
[12] Jiye Liang,et al. International Journal of Approximate Reasoning Multigranulation Decision-theoretic Rough Sets , 2022 .
[13] T. Y. Lin,et al. GRANULAR COMPUTING: From Rough Sets and Neighborhood Systems to Information Granulation and Computing with Words , 1997 .
[14] Feng Li,et al. A new approach of optimal scale selection to multi-scale decision tables , 2017, Inf. Sci..
[15] Yee Leung,et al. Optimal scale selection for multi-scale decision tables , 2013, Int. J. Approx. Reason..
[16] Yuhua Qian,et al. Multigranulation fuzzy rough set over two universes and its application to decision making , 2017, Knowl. Based Syst..
[17] Duoqian Miao,et al. Three-layer granular structures and three-way informational measures of a decision table , 2017, Inf. Sci..
[18] Qinghua Hu,et al. Adaptive neighborhood granularity selection and combination based on margin distribution optimization , 2013, Inf. Sci..
[19] Lotfi A. Zadeh,et al. Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..
[20] Yuhua Qian,et al. Concept learning via granular computing: A cognitive viewpoint , 2014, Information Sciences.
[21] Davide Ciucci,et al. Simple graphs in granular computing , 2016, Inf. Sci..
[22] Yaojin Lin,et al. Matrix-based set approximations and reductions in covering decision information systems , 2015, Int. J. Approx. Reason..
[23] Qinghua Hu,et al. Multi-granularity distance metric learning via neighborhood granule margin maximization , 2014, Inf. Sci..
[24] Andrzej Skowron,et al. Interactive granular computing , 2016 .
[25] Anna Bryniarska,et al. Certain information granule system as a result of sets approximation by fuzzy context , 2019, Int. J. Approx. Reason..
[26] Wei-Zhi Wu,et al. Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection , 2019, IEEE Transactions on Fuzzy Systems.
[27] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[28] Zhong Zheng,et al. Rule acquisition and optimal scale selection in multi-scale formal decision contexts and their applications to smart city , 2017, Future Gener. Comput. Syst..
[29] Jiye Liang,et al. An information fusion approach by combining multigranulation rough sets and evidence theory , 2015, Inf. Sci..
[30] Witold Pedrycz,et al. Granular Computing: Perspectives and Challenges , 2013, IEEE Transactions on Cybernetics.
[31] Jiye Liang,et al. Pessimistic rough set based decisions: A multigranulation fusion strategy , 2014, Inf. Sci..
[32] Qinghua Hu,et al. Neighborhood classifiers , 2008, Expert Syst. Appl..
[33] Chen Degang,et al. A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets , 2007 .
[34] Yiyu Yao,et al. Three-way decisions with probabilistic rough sets , 2010, Inf. Sci..
[35] Yee Leung,et al. Theory and applications of granular labelled partitions in multi-scale decision tables , 2011, Inf. Sci..
[36] Thierry Denoeux,et al. Decision-Making with Belief Functions: a Review , 2018, Int. J. Approx. Reason..
[37] Yiyu Yao,et al. Three-way decision and granular computing , 2018, Int. J. Approx. Reason..
[38] Yiyu Yao,et al. Rough set models in multigranulation spaces , 2016, Inf. Sci..
[39] Jiye Liang,et al. Incomplete Multigranulation Rough Set , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[40] Ming-Wen Shao,et al. Attribute reduction based on k-nearest neighborhood rough sets , 2019, Int. J. Approx. Reason..
[41] Bao Qing Hu,et al. Three-way decisions space and three-way decisions , 2014, Inf. Sci..
[42] Wei-Zhi Wu,et al. On knowledge acquisition in multi-scale decision systems , 2013, Int. J. Mach. Learn. Cybern..
[43] Giampiero Chiaselotti,et al. Granular computing on information tables: Families of subsets and operators , 2018, Inf. Sci..
[44] Lotfi A. Zadeh,et al. Fuzzy sets and information granularity , 1996 .
[45] Chen Hao,et al. Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions , 2017, Inf. Sci..
[46] Nouman Azam,et al. Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets , 2015, IEEE Transactions on Fuzzy Systems.
[47] Jun Wang,et al. Stepwise optimal scale selection for multi-scale decision tables via attribute significance , 2017, Knowl. Based Syst..
[48] Yiyu Yao. Granular Computing using Neighborhood Systems , 1999 .