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Approaches to knowledge reduction based on variable precision rough set model.

, , and . Inf. Sci., 159 (2): 255-272 (2004)

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