Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
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Jing-Yu Yang | Xibei Yang | Chen Wu | Dongjun Yu | Jing-yu Yang | Xibei Yang | Chen Wu | Dongjun Yu
[1] Jerzy W. Grzymala-Busse,et al. On the Unknown Attribute Values in Learning from Examples , 1991, ISMIS.
[2] Wojciech Ziarko,et al. Variable Precision Rough Set Model , 1993, J. Comput. Syst. Sci..
[3] Z. Pawlak,et al. Decision analysis using rough sets , 1994 .
[4] Nobuaki Kuroki,et al. Rough Ideals in Semigroups , 1997, Inf. Sci..
[5] Chien-Chung Chan,et al. A Rough Set Approach to Attribute Generalization in Data Mining , 1998, Inf. Sci..
[6] Zdzislaw Pawlak,et al. Rough Set Theory and its Applications to Data Analysis , 1998, Cybern. Syst..
[7] Marzena Kryszkiewicz,et al. Rough Set Approach to Incomplete Information Systems , 1998, Inf. Sci..
[8] Marzena Kryszkiewicz,et al. Rules in Incomplete Information Systems , 1999, Inf. Sci..
[9] Alexis Tsoukiàs,et al. On the Extension of Rough Sets under Incomplete Information , 1999, RSFDGrC.
[10] Patrick Brézillon,et al. Lecture Notes in Artificial Intelligence , 1999 .
[11] Salvatore Greco,et al. Handling Missing Values in Rough Set Analysis of Multi-Attribute and Multi-Criteria Decision Problems , 1999, RSFDGrC.
[12] Alexis Tsoukiàs,et al. Incomplete Information Tables and Rough Classification , 2001, Comput. Intell..
[13] Salvatore Greco,et al. Rough sets theory for multicriteria decision analysis , 2001, Eur. J. Oper. Res..
[14] Malcolm J. Beynon,et al. Reducts within the variable precision rough sets model: A further investigation , 2001, Eur. J. Oper. Res..
[15] Marzena Kryszkiewicz. Comparative study of alternative types of knowledge reduction in inconsistent systems , 2001, Int. J. Intell. Syst..
[16] Salvatore Greco,et al. Rough approximation by dominance relations , 2002, Int. J. Intell. Syst..
[17] Guoyin Wang,et al. Extension of rough set under incomplete information systems , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).
[18] Dominik Slezak,et al. Approximate Entropy Reducts , 2002, Fundam. Informaticae.
[19] Zdzislaw Pawlak,et al. Rough sets and intelligent data analysis , 2002, Inf. Sci..
[20] Guoyin Wang,et al. Rough reduction in algebra view and information view , 2003, Int. J. Intell. Syst..
[21] M. Narasimha Murty,et al. Tree structure for efficient data mining using rough sets , 2003, Pattern Recognit. Lett..
[22] Wei-Zhi Wu,et al. Approaches to knowledge reductions in inconsistent systems , 2003, Int. J. Intell. Syst..
[23] Andrzej Skowron,et al. Rough set methods in feature selection and recognition , 2003, Pattern Recognit. Lett..
[24] Wei-Zhi Wu,et al. Knowledge acquisition in incomplete fuzzy information systems via the rough set approach , 2003, Expert Syst. J. Knowl. Eng..
[25] Yee Leung,et al. Maximal consistent block technique for rule acquisition in incomplete information systems , 2003, Inf. Sci..
[26] Wei-Zhi Wu,et al. Approaches to knowledge reduction based on variable precision rough set model , 2004, Inf. Sci..
[27] Jerzy W. Grzymala-Busse,et al. Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation , 2004, Trans. Rough Sets.
[28] Jerzy W. Grzymala-Busse,et al. Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction , 2004, Trans. Rough Sets.
[29] Jusheng Mi,et al. Incomplete information system andits optimal selections , 2004 .
[30] Ming-Wen Shao,et al. Dominance relation and rules in an incomplete ordered information system , 2005 .
[31] Zdzislaw Pawlak,et al. Some remarks on conflict analysis , 2005, Eur. J. Oper. Res..
[32] Rafal Latkowski,et al. Flexible Indiscernibility Relations for Missing Attribute Values , 2005, Fundam. Informaticae.
[33] Bijan Davvaz,et al. Roughness in modules , 2006, Inf. Sci..
[34] Yanyong Guan,et al. Set-valued information systems , 2006, Inf. Sci..
[35] Yee Leung,et al. Knowledge acquisition in incomplete information systems: A rough set approach , 2006, Eur. J. Oper. Res..
[36] Qi-Mei Xiao,et al. Rough prime ideals and rough fuzzy prime ideals in semigroups , 2006, Inf. Sci..
[37] Yiyu Yao,et al. Data analysis based on discernibility and indiscernibility , 2007, Inf. Sci..
[38] Andrzej Skowron,et al. Rudiments of rough sets , 2007, Inf. Sci..
[39] Wei Cheng,et al. Notes on "the lower and upper approximations in a fuzzy group" and "rough ideals in semigroups" , 2007, Inf. Sci..
[40] Andrzej Skowron,et al. Rough sets: Some extensions , 2007, Inf. Sci..
[41] Andrzej Skowron,et al. Rough sets and Boolean reasoning , 2007, Inf. Sci..
[42] Paul P. Wang,et al. Comment on “The lower and upper approximations in a fuzzy group” , 1996, 2009 International Conference on Machine Learning and Cybernetics.