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Zhong Yuan's Projects

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Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion Measurement (IEEE Transactions on Knowledge and Data Engineering, 2023, Code)-3WNCROD

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Some unsupervised attribute reduction (or feature selection) based on fuzzy rough set theory, including algorithms EUIAR, FMIUFS, FRUAR, and HKCMI.

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Fuzzy Granular Anomaly Detection Using Markov Random Walk (Information Sciences, 2023, Code)-FGAS

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Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection (Fuzzy Sets and Systems, 2021, Code)-FIEOD

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Exploiting Fuzzy Rough Entropy to Detect Anomalies (International Journal of Approximate Reasoning, 2023, Code)-FREAD

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Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data (IEEE Transactions on Cybernetics, 2022, Code)-FRGOD

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Detecting anomalies with granular-ball fuzzy rough sets (Information Sciences, 2024, Code)-GBFRD

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Kernelized Fuzzy-Rough Anomaly Detection (IEEE Transactions on Fuzzy Systems, 2024, Code)-KFRAD

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MFGAD: Multi-Fuzzy Granules Anomaly Detection (Information Fusion, 2023, Code)-MFGAD

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Codes and datasets for the paper "Fusing multi-scale fuzzy information to detect outliers".

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Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures (Expert Systems With Applications, 2018, Code)-NIEOD

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Attribute granules-based object entropy for outlier detection in nominal data (Engineering Applications of Artificial Intelligence,2024, Code)-OEOD

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Anomaly Detection Based on Weighted Fuzzy-Rough Density (Applied Soft Computing, 2023, Code)-WFRDA

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