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SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence.

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

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Multi-criteria based learning of the Choquet integral using Goal programming., , and . NAFIPS/WConSC, page 1-6. IEEE, (2015)Constraints Preserving Genetic Algorithm for Learning Fuzzy Measures with an Application to Ontology Matching., , and . WCSC, volume 312 of Studies in Fuzziness and Soft Computing, page 93-103. Springer, (2013)Causal cueing system for above ground anomaly detection of explosive hazards using support vector machine localized by K-nearest neighbor., , , and . CISDA, page 1-8. IEEE, (2012)Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery., , , , and . IGARSS, page 665-668. IEEE, (2018)Fusion of heterogeneous bands and kernels in hyperspectral image processing., , , and . CoRR, (2019)Comparing soft clusters and partitions., , , , and . FUZZ-IEEE, page 924-931. IEEE, (2011)The fuzzy integral for missing data., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2017)Regularization-based learning of the Choquet integral., , and . FUZZ-IEEE, page 2519-2526. IEEE, (2014)Transfer Learning for the Choquet Integral., , , , , , , and . FUZZ-IEEE, page 1-6. IEEE, (2019)Machine Learning of Choquet Integral Regression with Respect to a Bounded Capacity (or Non-monotonic Fuzzy Measure)., and . FUZZ-IEEE, page 1-6. IEEE, (2019)