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A Fuzzy-Rough Data Pre-processing Approach for the Dendritic Cell Classifier., and . ECSQARU, volume 7958 of Lecture Notes in Computer Science, page 109-120. Springer, (2013)COID-FDCM: The Fuzzy Maintained Dendritic Cell Classification Method., , and . ICAISC (2), volume 7268 of Lecture Notes in Computer Science, page 233-241. Springer, (2012)A New Version of the Dendritic Cell Immune Algorithm Based on the K-Nearest Neighbors., , and . ICONIP (1), volume 9489 of Lecture Notes in Computer Science, page 688-695. Springer, (2015)Belief Rough Set Classifier., , and . Canadian AI, volume 5549 of Lecture Notes in Computer Science, page 257-261. Springer, (2009)Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory., , and . ECSQARU, volume 12897 of Lecture Notes in Computer Science, page 342-353. Springer, (2021)Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces., , and . ECSQARU, volume 10369 of Lecture Notes in Computer Science, page 212-221. Springer, (2017)A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory., , and . IDEAL (2), volume 12490 of Lecture Notes in Computer Science, page 3-11. Springer, (2020)Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories., , and . Int. J. Intell. Syst., 30 (6): 676-706 (2015)Possibilistic AIRS induction from uncertain data., , and . Soft Comput., 20 (1): 3-17 (2016)Selection of Initial Modes for Rough Possibilistic K-Modes Methods., and . ISMIS, volume 10352 of Lecture Notes in Computer Science, page 77-86. Springer, (2017)