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Inconsistency Measure Associated Discretization Methods to Network-based Intrusion Detection.

, , , and . FUZZ-IEEE, page 1-6. IEEE, (2018)

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Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function., , , , and . Neural Comput. Appl., 22 (Supplement-1): 379-394 (2013)Multi-criterion mammographic risk analysis supported with multi-label fuzzy-rough feature selection., , , , , and . Artif. Intell. Medicine, (2019)Non-unique decision differential entropy-based feature selection., , , , and . Neurocomputing, (2020)Multi-functional nearest-neighbour classification., , , , and . Soft Comput., 22 (8): 2717-2730 (2018)Multi-label Fuzzy Similarity-Based Nearest-Neighbour Classification Using Association Rule., , and . IDEAL, volume 9937 of Lecture Notes in Computer Science, page 542-551. Springer, (2016)Inconsistency Measure Associated Discretization Methods to Network-based Intrusion Detection., , , and . FUZZ-IEEE, page 1-6. IEEE, (2018)Dynamic QoS solution for enterprise networks using TSK fuzzy interpolation., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)Interval Type-2 TSK+ Fuzzy Inference System., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2018)A Study of Neuro-Weighted Nearest-Neighbour Classification., , , and . UKCI, volume 1409 of Advances in Intelligent Systems and Computing, page 51-60. Springer, (2021)Tightly coupled fuzzy rough description logic programs under the answer set semantics for the semantic web., , and . FUZZ-IEEE, page 1480-1487. IEEE, (2014)