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Handling Noise and Outliers in Fuzzy Clustering.

, , , and . Fifty Years of Fuzzy Logic and its Applications, volume 326 of Studies in Fuzziness and Soft Computing, Springer, (2015)

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Degrés d'équivalence de mesures de comparaison pour données binaires et pour données numériques., and . Mesurer et évaluer la Qualité des Données et des Connaissances, volume E-22 of RNTI, Hermann-Éditions, (2012)Transformation-based constraint-guided Generalised Modus Ponens., , and . FUZZ-IEEE, page 1316-1322. IEEE, (2016)Case-based prediction - A survey., and . Int. J. Approx. Reason., (2023)Temporality and Causality in Abstract Argumentation., , , , and . CoRR, (2023)Credit-Card Fraud Profiling Using a Hybrid Incremental Clustering Methodology., and . SUM, volume 7520 of Lecture Notes in Computer Science, page 325-336. Springer, (2012)Fuzzy Prototypes Based on Typicality Degrees., , and . Fuzzy Days, volume 33 of Advances in Soft Computing, page 125-138. Springer, (2004)Bridging the Emotional Gap - From Objective Representations to Subjective Interpretations.. KEOD, page IS-15. SciTePress, (2014)A proximal framework for fuzzy subspace clustering., , and . Fuzzy Sets Syst., (2019)Contextualization and Exploration of Local Feature Importance Explanations to Improve Understanding and Satisfaction of Non-Expert Users., , , , and . IUI, page 807-819. ACM, (2022)Flexible Querying Using Disjunctive Concepts., , , and . FQAS, volume 12871 of Lecture Notes in Computer Science, page 29-40. Springer, (2021)