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Constructive and axiomatic approaches to hesitant fuzzy rough set., , , and . Soft Comput., 18 (6): 1067-1077 (2014)Extended semi-supervised fuzzy learning method for nonlinear outliers via pattern discovery., , , , and . Appl. Soft Comput., (2015)Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition., , , , , and . J. Electronic Imaging, 24 (5): 053010 (2015)Characteristic Relations in Generalized Incomplete Information System., , , , and . WKDD, page 519-523. IEEE Computer Society, (2008)Test cost sensitive multigranulation rough set: Model and minimal cost selection., , , and . Inf. Sci., (2013)ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data., , , , , and . Knowl.-Based Syst., (2016)Dynamic updating multigranulation fuzzy rough set: approximations and reducts., , , and . Int. J. Machine Learning & Cybernetics, 5 (6): 981-990 (2014)Microarray data classification based on principal curves., , and . FSKD, page 2199-2202. IEEE, (2010)Dominance-Based Variable Precision Rough Fuzzy Approach in Fuzzy Information System., , , and . FSKD (5), page 8-12. IEEE Computer Society, (2008)978-0-7695-3305-6.A Comparative Study on Weighted Central Moment and Its Application in 2D Shape Retrieval., , , and . Information, 7 (1): 10 (2016)