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Dependence space of concept lattices based on rough set.

J. Ma, W. Zhang, и X. Wang. GrC, стр. 200-204. IEEE, (2006)

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Probabilistic Rough Sets Characterized By Fuzzy Sets.L. Wei, и W. Zhang. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12 (1): 47-60 (2004)Variable threshold concept lattices.W. Zhang, J. Ma, и S. Fan. Inf. Sci., 177 (22): 4883-4892 (2007)Concept Granular Computing Based on Lattice Theoretic Setting.W. Zhang, H. Yang, J. Ma, и G. Qiu. Human-Centric Information Processing Through Granular Modelling, том 182 из Studies in Computational Intelligence, Springer, (2009)A New Method for Mining Regression Classes in Large Data Sets.Y. Leung, J. Ma, и W. Zhang. IEEE Trans. Pattern Anal. Mach. Intell., 23 (1): 5-21 (2001)Approximation in Formal Concept Analysis.M. Shao, и W. Zhang. RSFDGrC (1), том 3641 из Lecture Notes in Computer Science, стр. 43-53. Springer, (2005)Knowledge granulation, knowledge entropy and knowledge uncertainty measure in ordered information systems.W. Xu, X. Zhang, и W. Zhang. Appl. Soft Comput., 9 (4): 1244-1251 (2009)Measuring roughness of generalized rough sets induced by a covering.W. Xu, и W. Zhang. Fuzzy Sets Syst., 158 (22): 2443-2455 (2007)Editorial.W. Xu, J. Li, M. Shao, и W. Zhang. Int. J. Mach. Learn. Cybern., 8 (1): 1-2 (2017)Rough sets on atomic Boolean lattices.T. Li, W. Zhang, и J. Ma. GrC, стр. 176-179. IEEE, (2005)On Generalized Rough Fuzzy Approximation Operators.W. Wu, Y. Leung, и W. Zhang. Trans. Rough Sets, (2006)