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Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model.

, , , , and . Inf. Sci., (2019)

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Weighted one-class classification for different types of minority class examples in imbalanced data., , and . CIDM, page 337-344. IEEE, (2014)A Historical Account of Types of Fuzzy Sets and Their Relationships., , , , , , , , , and . IEEE Trans. Fuzzy Syst., 24 (1): 179-194 (2016)Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection., , and . GEFS, page 69-74. IEEE, (2010)Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection., , and . IDEAL, volume 9375 of Lecture Notes in Computer Science, page 36-44. Springer, (2015)Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels., , , and . HAIS, volume 9121 of Lecture Notes in Computer Science, page 489-501. Springer, (2015)Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems., , , and . Inf. Sci., 136 (1-4): 135-157 (2001)Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository., , , , and . CoRR, (2018)Aggregation operators for linguistic weighted information., and . IEEE Trans. Syst. Man Cybern. Part A, 27 (5): 646-656 (1997)A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP., , and . Eur. J. Oper. Res., 180 (1): 116-148 (2007)A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation., , , , , , and . IEEE Access, (2019)