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Neighborhood attribute reduction: a multi-criterion approach.

, , , , , and . Int. J. Machine Learning & Cybernetics, 10 (4): 731-742 (2019)

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Concept learning via granular computing: A cognitive viewpoint., , , and . Inf. Sci., (2015)Analysis of dynamic model of heating system after step change of water supply temperature., , , and . ICARCV, page 1924-1928. IEEE, (2008)Granule description based on formal concept analysis., and . Knowl.-Based Syst., (2016)Knowledge representation using interval-valued fuzzy formal concept lattice., , and . Soft Comput., 20 (4): 1485-1502 (2016)Concurrent concept-cognitive learning model for classification., , , and . Inf. Sci., (2019)Rule acquisition and optimal scale selection in multi-scale formal decision contexts and their applications to smart city., , , and . Future Generation Comp. Syst., (2018)Weakly closed label concept lattice and its application to rule acquisition in decision formal contexts., , , and . ICMLC, page 658-663. IEEE, (2013)Attribute Reduction: An Ensemble Strategy., , , , and . IJCRS (1), volume 10313 of Lecture Notes in Computer Science, page 362-375. Springer, (2017)Parallel computing techniques for concept-cognitive learning based on granular computing., , , and . Int. J. Machine Learning & Cybernetics, 9 (11): 1785-1805 (2018)Cognitive concept learning from incomplete information., , , and . Int. J. Machine Learning & Cybernetics, 8 (1): 159-170 (2017)