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Decremental Possibilistic K-Modes., , и . SCAI, том 257 из Frontiers in Artificial Intelligence and Applications, стр. 15-24. IOS Press, (2013)Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories., , и . Int. J. Intell. Syst., 30 (6): 676-706 (2015)Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise., , и . MDAI, том 12898 из Lecture Notes in Computer Science, стр. 181-192. Springer, (2021)Selection of Initial Modes for Rough Possibilistic K-Modes Methods., и . ISMIS, том 10352 из Lecture Notes in Computer Science, стр. 77-86. Springer, (2017)An Optimized Evidential Artificial Immune Recognition System Based on Genetic Algorithm., и . IDEAL, том 13113 из Lecture Notes in Computer Science, стр. 188-195. Springer, (2021)Belief Rough Set Classifier., , и . Canadian AI, том 5549 из Lecture Notes in Computer Science, стр. 257-261. Springer, (2009)Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory., , и . ECSQARU, том 12897 из Lecture Notes in Computer Science, стр. 342-353. Springer, (2021)Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces., , и . ECSQARU, том 10369 из Lecture Notes in Computer Science, стр. 212-221. Springer, (2017)DETD: Dynamic Policy for Case Base Maintenance Based on EK-NNclus Algorithm and Case Types Detection., , и . IPMU (1), том 853 из Communications in Computer and Information Science, стр. 370-382. Springer, (2018)Comparison of belief AHP models using a simulation study., , и . IFSA-EUSFLAT, Atlantis Press, (2015)