Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise

5 Mar 2020Sergio GonzálezSalvador GarcíaSheng-Tun LiRobert JohnFrancisco Herrera

This paper proposes a new model based on Fuzzy k-Nearest Neighbors for classification with monotonic constraints, Monotonic Fuzzy k-NN (MonFkNN). Real-life data-sets often do not comply with monotonic constraints due to class noise... (read more)

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