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On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees.

, , , and . FUZZ-IEEE, page 1247-1254. IEEE, (2011)

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Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches., , , , and . Knowl.-Based Syst., (2013)A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets., , and . HIS, page 483-488. IEEE Computer Society, (2008)On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees., , , and . FUZZ-IEEE, page 1247-1254. IEEE, (2011)A genetic algorithm for tuning fuzzy rule-based classification systems with Interval-Valued Fuzzy Sets., , , and . FUZZ-IEEE, page 1-3. IEEE, (2010)Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets., , and . Int. J. Approx. Reasoning, 50 (3): 561-577 (2009)A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability., , , and . Soft Comput., 13 (10): 959-977 (2009)Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning., , , and . Inf. Sci., 180 (19): 3674-3685 (2010)On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed., , and . Inf. Sci., (2014)Service discovery acceleration with hierarchical clustering., , , and . Information Systems Frontiers, 17 (4): 799-808 (2015)The CASCOM Abstract Architecture for Semantic Service Discovery and Coordination in IP2P Environments., , , and . ICEIS (4), page 205-208. (2006)