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Rule Induction from Information Tables with Ordinal Decision Attributes.

, , , and . GrC, page 271-276. IEEE Computer Society, (2010)

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Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering., , and . IUKM, volume 11471 of Lecture Notes in Computer Science, page 271-283. Springer, (2019)Rule Induction Via Clustering Decision Classes., and . RSCTC, volume 4259 of Lecture Notes in Computer Science, page 928-938. Springer, (2006)Learning prototype-based classifiers by margin maximization., , and . IFSA-SCIS, page 1-6. IEEE, (2017)Empirical risk minimization for dominance-based rough set approaches., , , and . Inf. Sci., (2021)Maximum-Margin Nearest Prototype Classifiers with the Sum-over-Others Loss Function and a Performance Evaluation.. IUKM (2), volume 14376 of Lecture Notes in Computer Science, page 37-46. Springer, (2023)Rule Induction from Information Tables with Ordinal Decision Attributes., , , and . GrC, page 271-276. IEEE Computer Society, (2010)Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function., , , and . IUKM, volume 11471 of Lecture Notes in Computer Science, page 135-145. Springer, (2019)A unified approach to reducts in dominance-based rough set approach., and . Soft Comput., 14 (5): 507-515 (2010)Approximate Multiobjective Multiclass SVM by Using the Reference Point Method., , , , and . SMC, page 3535-3540. IEEE, (2018)Specific-to-general approach for rule induction using discernibility based dissimilarity., and . GrC, page 178-181. IEEE Computer Society, (2013)