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On the Use of Clustering in Possibilistic Decision Tree Induction.

, , and . ECSQARU, volume 5590 of Lecture Notes in Computer Science, page 505-517. Springer, (2009)

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Decremental Possibilistic K-Modes., , and . SCAI, volume 257 of Frontiers in Artificial Intelligence and Applications, page 15-24. IOS Press, (2013)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)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 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)Comparing dependent combination rules under the belief classifier fusion framework., , and . Soft Comput., 21 (23): 6919-6932 (2017)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 Hierarchical Clustering., , , and . CoRR, (2015)A Novel k-NN Approach for Data with Uncertain Attribute Values., , and . IEA/AIE (1), volume 10350 of Lecture Notes in Computer Science, page 160-170. Springer, (2017)An Evidential Collaborative Filtering Dealing with Sparsity Problem and Data Imperfections., , and . ISDA (2), volume 941 of Advances in Intelligent Systems and Computing, page 521-531. Springer, (2018)