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Leveraging IT2 Input Fuzzy Sets in Non-Singleton Fuzzy Logic Systems to Dynamically Adapt to Varying Uncertainty Levels.

, , and . FUZZ-IEEE, page 1-7. IEEE, (2019)

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Leveraging IT2 Input Fuzzy Sets in Non-Singleton Fuzzy Logic Systems to Dynamically Adapt to Varying Uncertainty Levels., , and . FUZZ-IEEE, page 1-7. IEEE, (2019)Performance and Interpretability in Fuzzy Logic Systems - Can We Have Both?, , , and . IPMU (1), volume 1237 of Communications in Computer and Information Science, page 571-584. Springer, (2020)Citizens' Spatial Footprint on Twitter - Anomaly, Trend and Bias Investigation in Istanbul., , , and . ISPRS Int. J. Geo Inf., 9 (4): 222 (2020)An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2021)Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour., , , , , , and . ITSC, page 1-7. IEEE, (2020)Noise Parameter Estimation for Non-Singleton Fuzzy Logic Systems., , and . SMC, page 2960-2965. IEEE, (2018)Compositional Linear Regression on Interval-valued Data., and . SSCI, page 1-8. IEEE, (2021)The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond., , , , , , , , , and 10 other author(s). CoRR, (2023)Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving., , , , , , and . CoRR, (2022)Fuzzy Uncertainty-Based Out-of-Distribution Detection Algorithm for Semantic Segmentation., , , , and . FUZZ, page 1-6. IEEE, (2023)