A granulation-based method for finding similarity between time series. - Fusheng Yu; Fei Chen; Keqiang Dong (GrC, 2005)

Rival Penalized Fuzzy Competitive Learning Algorithm. - Xiyang Yang; Fusheng Yu (ICNC (1), 2005)

Finding periodicity in pseudo periodic time series and forecasting. - Fei Chen; Jie Yuan; Fusheng Yu (GrC, 2006)

Improving Fuzzy C-Means with Shadow Set. - Fusheng Yu; Fangmin Wu; Qiuyan Sun (FSKD (1), 2007)

Build Complicated Granules with Generalized Operations of Fuzzy Sets. - Fusheng Yu; Wenyi Zeng; Qiuyan Sun; Fangmin Wu; Yongke Jiang (FSKD (1), 2007)

Clustering Time Series with Granular Dynamic Time Warping Method. - Fusheng Yu; Keqiang Dong; Fei Chen; Yongke Jiang; Wenyi Zeng (GrC, 2007)

A Necessary Preprocessing in Horizontal Collaborative Fuzzy Clustering. - Fusheng Yu; Juan Tang; Ruiqiong Cai (GrC, 2007)

Auto-weighted Horizontal Collaboration Fuzzy Clustering. - Fusheng Yu; Juan Tang; Fangmin Wu; Qiuyan Sun (ICFIE, 2007)

A New Method for Determining the True Value Domain of Conditional Fuzzy Inference Sentences. - Fusheng Yu; Ruiqiong Cai; Xiaoxia Zhang (FSKD (1), 2008)

Generalized Triangular Norms Based Product and Similarity of Fuzzy Sets. - Fusheng Yu; Mingxin Zhang 009 (FSKD (1), 2008)

Fuzzy Temporal Constraints Based Fuzzy Clustering Algorithm for Temporal Dadaset. - Ruiqiong Cai; Fusheng Yu (FSKD (1), 2009)

The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence. - Fusheng Yu; Witold Pedrycz (Appl. Soft Comput., 2009)

Fuzzy Granulation Based Forecasting of Time Series. - Fangmin Wu; Yang Li; Fusheng Yu (ACFIE, 2010)

A New Pairwise Comparison Based Method of Ranking LR-fuzzy Numbers. - Mingxin Zhang 009; Fusheng Yu (AICI (2), 2010)

Optimized fuzzy information granulation based machine learning classification. - Yang Li; Fusheng Yu (FSKD, 2010)

Optimized fuzzy information granulation of temporal data. - Fusheng Yu; Ruiqiong Cai (FSKD, 2010)

Approximating the true domain of fuzzy inference sentence with genetic algorithm. - Xin Zhang; Xiao Wang 008; Shuqing Zhang; Fusheng Yu (FSKD, 2010)

Fuzzy granulation of interval numbers. - Mingxin Zhang 009; Keqiang Dong; Fusheng Yu (FSKD, 2011)

Semidefinite Programming-Based Method for Implementing Linear Fitting to Interval-Valued Data. - Minghuang Li; Fusheng Yu (Int. J. Fuzzy Syst. Appl., 2011)

Knowledge-Guided Clustering of Large-Scale Time Series under Wavelet Transformation. - Xiao Wang 008; Fusheng Yu; Huixin Zhang; Yuming Liu (AICI, 2012)

Granulation-based fuzzy clustering of large-scale time series. - Xiao Wang 008; Fusheng Yu; Huixin Zhang (FSKD, 2013)

Knowledge Reduction in Lattice-Valued Information Systems with Interval-Valued Intuitionistic Fuzzy Decision. - Wei-Hua Xu 003; Shihu Liu; Fusheng Yu (Int. J. Artif. Intell. Tools, 2013)

New approach to MCDM under interval-valued intuitionistic fuzzy environment. - Shihu Liu; Fusheng Yu; Weihua Xu 003; Wenxiu Zhang (Int. J. Mach. Learn. Cybern., 2013)

An Automatic Unsupervised Method Based on Context-Sensitive Spectral Angle Mapper for Change Detection of Remote Sensing Images. - Tauqir Ahmed Moughal; Fusheng Yu (ADMA, 2014)

Hesitation degree-based similarity measures for intuitionistic fuzzy sets. - Shihu Liu; Fusheng Yu (Int. J. Inf. Commun. Technol., 2014)

Fuzzy Collaborative Intelligence and Systems. - Toly Chen; T. Warren Liao; Fusheng Yu (Int. J. Intell. Syst., 2015)

Large-Scale Time Series Clustering Based on Fuzzy Granulation and Collaboration. - Xiao Wang 008; Fusheng Yu; Huixin Zhang; Shihu Liu; Jiayin Wang (Int. J. Intell. Syst., 2015)

An improved fuzzy C-means clustering algorithm. - Lingzi Duan; Fusheng Yu; Li Zhan (ICNC-FSKD, 2016)

An area-based shape distance measure of time series. - Xiao Wang 008; Fusheng Yu; Witold Pedrycz (Appl. Soft Comput., 2016)

Note on hesitant fuzzy prioritized weighted operators. - Deqing Li; Wenyi Zeng; Junhong Li; Fusheng Yu (J. Intell. Fuzzy Syst., 2016)

On Gradient Weighting Based Fuzzy Clustering for Graph Data. - Shihu Liu; Liping Jia; Fusheng Yu (CIS, 2017)

Temporal fuzzy association rules mining based on fuzzy information granulation. - Zebang Li; Fan Bu; Fusheng Yu (ICNC-FSKD, 2017)

A fast algorithm for mining temporal association rules based on a new definition. - Li Zhan; Fusheng Yu; Huixin Zhang (ICNC-FSKD, 2017)

Trajectory clustering using a new distance based on minimum convex hull. - Xu Gao; Fusheng Yu (IFSA-SCIS, 2017)

Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system. - Xiyang Yang; Fusheng Yu; Witold Pedrycz (Int. J. Approx. Reason., 2017)

Rank Factor Granules with Fuzzy Collaborative Clustering and Factor Space Theory. - Shihu Liu; Fusheng Yu; Patrick S. P. Wang (Int. J. Pattern Recognit. Artif. Intell., 2017)

A New Knowledge-Transmission Based Horizontal Collaborative Fuzzy Clustering Algorithm for Unequal-Length Time Series. - Shurong Jiang; Jianlong Wang; Fusheng Yu (DB&IS, 2018)

New Knowledge-Transmission Mechanisms Based Horizontal Collaborative Fuzzy Clustering Algorithms for Unequal-Length Time Series. - Shurong Jiang; Fusheng Yu (DB&IS (Selected Papers), 2018)

A Long-association Relationship Based Forecasting Method for Time Series. - Fang Li; Fusheng Yu (ICNC-FSKD, 2018)

Time-series clustering based on linear fuzzy information granules. - Lingzi Duan; Fusheng Yu; Witold Pedrycz; Xiao Wang 008; Xiyang Yang (Appl. Soft Comput., 2018)

Computational Intelligence in Astronomy: A Survey. - Ke Wang 064; Ping Guo 002; Fusheng Yu; Lingzi Duan; Yuping Wang 003; Hui Du (Int. J. Comput. Intell. Syst., 2018)

Granularity Approach for Multi-Criteria Decision Making About Hybrid Evaluation Information. - Shihu Liu; Fusheng Yu; Patrick S. P. Wang (Int. J. Pattern Recognit. Artif. Intell., 2018)

Knowledge Matching in Horizontal Collaborative Fuzzy Clustering. - Longshu Liu; Fusheng Yu; Fangyang Wang (ICNC-FSKD, 2019)

Fuzzy Partition Based Period Detection Method for Numerical Time Series. - Jing Xu; Fusheng Yu; Yuming Liu; Xiao Wang 008 (ICNC-FSKD, 2019)

Mathematical Programming for Piecewise Linear Representation of Discrete Time Series. - Xiyang Yang; Jing Zhang; Fusheng Yu; Zhiwei Li (ICNC-FSKD, 2019)

A Novel Time Series Forecasting Method Based on Fuzzy Visibility Graph. - Jingyi Zhou; Jiayin Wang; Fusheng Yu; Lian Yu; Xiao Wang 008 (ICNC-FSKD, 2019)

Linear Fuzzy Information Granulation Based Classification Method for Unequal Length Time Series. - Yining Gao; Fusheng Yu (ISKE, 2019)

Mining Temporal Association Rules of an Attributed Graph Sequence at High Conceptual Levels. - Qikai Guo; Fusheng Yu (ISKE, 2019)

A One-factor Granular Fuzzy Logical Relationship Based Multi-point Ahead Prediction Model. - Fang Li; Huilin Yang; Fusheng Yu; Fangyang Wang; Xiao Wang 008 (ISKE, 2019)

A New Adaptive Fuzzy Cognitive Map-Based Forecasting Model for Time Series. - Yihan Wang; Fusheng Yu; Wladyslaw Homenda; Agnieszka Jastrzebska; Xiao Wang 008 (ISKE, 2019)

Clustering of interval-valued time series of unequal length based on improved dynamic time warping. - Xiao Wang 008; Fusheng Yu; Witold Pedrycz; Lian Yu (Expert Syst. Appl., 2019)

Hierarchical clustering of unequal-length time series with area-based shape distance. - Xiao Wang 008; Fusheng Yu; Witold Pedrycz; Jiayin Wang (Soft Comput., 2019)

Multicriteria Decision Making: Scale, Polarity, Symmetry, Interpretability. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz; Fusheng Yu; Yihan Wang (FUZZ-IEEE, 2020)

Information Granules and Granular Models: Selected Design Investigations. - Witold Pedrycz; Wladyslaw Homenda; Agnieszka Jastrzebska; Fusheng Yu (FUZZ-IEEE, 2020)

Direct Neural Network Adaptive Tracking Control for Uncertain Non-Strict Feedback Systems With Nonsymmetric Dead-Zone. - Rui Wang 062; Liyun Zhao; Fusheng Yu (IEEE Access, 2020)

A novel alleviating fuzzy control algorithm for a class of nonlinear stochastic systems in pure-feedback form. - Rui Wang 062; Yanjun Liu; Fusheng Yu; Jiayin Wang; Xiao Wang 008; Liyun Zhao (Fuzzy Sets Syst., 2020)

Multi-factor one-order cross-association fuzzy logical relationships based forecasting models of time series. - Fang Li; Fusheng Yu (Inf. Sci., 2020)

Combining Classifiers for Foreign Pattern Rejection. - Wladyslaw Homenda; Agnieszka Jastrzebska; Witold Pedrycz; Fusheng Yu (J. Artif. Intell. Soft Comput. Res., 2020)

Embedding Knowledge Graphs into Multi-vector Space. - Xi Cao; Fusheng Yu (ISKE, 2021)

Kernel Principal Component Analysis Pseudoinverse Learning Algorithm. - Huanan Pu; Fusheng Yu (ISKE, 2021)

Integrate new cross association fuzzy logical relationships to multi-factor high-order forecasting model of time series. - Fang Li; Fusheng Yu; Xiao Wang 008; Xiyang Yang; Shihu Liu; Yuming Liu (Int. J. Mach. Learn. Cybern., 2021)

Matrix approach to spanning matroids of rough sets and its application to attribute reduction. - Lirun Su; Fusheng Yu (Theor. Comput. Sci., 2021)

Typical Characteristic-Based Type-2 Fuzzy C-Means Algorithm. - Xiyang Yang; Fusheng Yu; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2021)

When Computer Vision Meets Algae. - Fusheng Yu (UV, 2022)

A fast algorithm for mining temporal association rules in a multi-attributed graph sequence. - Xubo Du; Fusheng Yu (Expert Syst. Appl., 2022)

Linear dynamic fuzzy granule based long-term forecasting model of interval-valued time series. - Yadong Hao; Shurong Jiang; Fusheng Yu; Wenyi Zeng; Xiao Wang; Xiyang Yang (Inf. Sci., 2022)

Link prediction algorithm based on the initial information contribution of nodes. - Yingjie Liu; Shihu Liu; Fusheng Yu; Xiyang Yang (Inf. Sci., 2022)

On rough set based fuzzy clustering for graph data. - Wenqian He; Shihu Liu; Weihua Xu 003; Fusheng Yu; Wentao Li 004; Fang Li (Int. J. Mach. Learn. Cybern., 2022)

Multilinear-Trend Fuzzy Information Granule-Based Short-Term Forecasting for Time Series. - Fang Li; Yuqing Tang 002; Fusheng Yu; Witold Pedrycz; Yuming Liu; Wenyi Zeng (IEEE Trans. Fuzzy Syst., 2022)

Building Trend Fuzzy Granulation-Based LSTM Recurrent Neural Network for Long-Term Time-Series Forecasting. - Yuqing Tang 002; Fusheng Yu; Witold Pedrycz; Xiyang Yang; Jiayin Wang; Shihu Liu (IEEE Trans. Fuzzy Syst., 2022)

The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting. - Yihan Wang; Fusheng Yu; Wladyslaw Homenda; Witold Pedrycz; Yuqing Tang 002; Agnieszka Jastrzebska; Fang Li (IEEE Trans. Fuzzy Syst., 2022)

Time Series Classification Based on Fuzzy Cognitive Maps and Multi-Class Decomposition with Ensembling. - Pawel Wesolowski; Kacper Walasek; Wladyslaw Homenda; Chenxi Ouyang; Fusheng Yu (FUZZ, 2023)

Knowledge-Guidance Based Directed Graph Clustering. - Zhifang Bai; Huilin Yang; Yingying Zheng; Yuming Liu; Fusheng Yu; Lian Yu (ICNC-FSKD, 2023)

With A Knowledge Adaption Mechanism: A Novel Horizontal Collaborative Fuzzy Clustering Method. - Huilin Yang; Fusheng Yu; Zhifang Bai; Yingying Zheng; Jiayin Wang (ICNC-FSKD, 2023)

A Graph Convolution Network and Fuzzy C-Means Based Human Skeleton Complement Method for Action Recognition Dataset Improvement. - Shixuan Qian; Huanan Pu; Fusheng Yu (ISKE, 2023)

Design Novel FCM-based Forecasting Model for Interval-valued Time Series: From Distance-metric Perspective. - Fei Yang; Chenxi Ouyang; Fusheng Yu; Yuqing Tang 002; Yanan Jiang (ISKE, 2023)

Knowledge-Guidance Based Multi-Relational Graph Spectral Clustering Using a Novel Structural Similarity Measure. - Yingying Zheng; Fusheng Yu; Huilin Yang; Zhifang Bai; Shihu Liu (ISKE, 2023)

Towards Complex Real-World Safety Factory Inspection: A High-Quality Dataset for Safety Clothing and Helmet Detection. - Fusheng Yu; Xiaoping Wang 001; Jiang Li 004; Shaojin Wu; Junjie Zhang; Zhigang Zeng (CoRR, 2023)

Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting. - Yihan Wang; Fusheng Yu; Wladyslaw Homenda; Witold Pedrycz; Agnieszka Jastrzebska; Xiao Wang 008 (IEEE Trans. Cybern., 2023)

Multi-source fuzzy comprehensive evaluation. - Xueyan Xu; Fusheng Yu; Witold Pedrycz; Xubo Du (Appl. Soft Comput., 2023)

Incremental updating reduction for relation decision systems with dynamic conditional relation sets. - Lirun Su; Fusheng Yu; Jinjin Li; Xubo Du; Hanliang Huang (Inf. Sci., 2023)

Clustering time series under trend-oriented fuzzy information granulation. - Xiyang Yang; Fusheng Yu; Witold Pedrycz; Zhiwei Li (Appl. Soft Comput., 2023)

Fuzzy granular recurrence plot and quantification analysis: A novel method for classification. - Qian He; Fusheng Yu; Jiaqi Chang; Chenxi Ouyang (Pattern Recognit., 2023)

Linear Fuzzy Information-Granule-Based Fuzzy C-Means Algorithm for Clustering Time Series. - Zonglin Yang; Shurong Jiang; Fusheng Yu; Witold Pedrycz; Huilin Yang; Yadong Hao (IEEE Trans. Cybern., 2023)

A Dictionary-Based with Stacked Ensemble Learning to Time Series Classification. - Rauzan Sumara; Wladyslaw Homenda; Witold Pedrycz; Fusheng Yu (ICCS (3), 2024)

DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste. - Junjie Zhang; Shaojin Wu; Junbin Gao; Fusheng Yu; Hao Xu 028; Zhigang Zeng (ISNN, 2024)

Oriented to a multi-learning mode: Establishing trend-fuzzy-granule-based LSTM neural networks for time series forecasting. - Yuqing Tang 002; Fusheng Yu; Witold Pedrycz; Fang Li; Chenxi Ouyang (Appl. Soft Comput., 2024)

An auto-weighted enhanced horizontal collaborative fuzzy clustering algorithm with knowledge adaption mechanism. - Huilin Yang; Fusheng Yu; Witold Pedrycz; Zonglin Yang; Jiaqi Chang; Jiayin Wang (Int. J. Approx. Reason., 2024)

Build interval-valued time series forecasting model with interval cognitive map trained by principle of justifiable granularity. - Chenxi Ouyang; Fusheng Yu; Yadong Hao; Yuqing Tang 002; Yanan Jiang (Inf. Sci., 2024)

A Trend-Granulation-Based Fuzzy C-Means Algorithm for Clustering Interval-Valued Time Series. - Zonglin Yang; Fusheng Yu; Witold Pedrycz; Huilin Yang; Yuqing Tang 002; Chenxi Ouyang (IEEE Trans. Fuzzy Syst., 2024)

Constructing Spatial Relationship and Temporal Relationship Oriented Composite Fuzzy Cognitive Maps for Multivariate Time Series Forecasting. - Chenxi Ouyang; Fei Yang; Fusheng Yu; Witold Pedrycz; Wladyslaw Homenda; Jiaqi Chang; Qian He; Zonglin Yang (IEEE Trans. Fuzzy Syst., 2024)

An improved method for retinal vessel segmentation in U-Net. - Chunyang Li; Zhigang Li; Fusheng Yu; Weikang Liu (Multim. Tools Appl., 2024)

Synergizing Two Types of Fuzzy Information Granules for Accurate and Interpretable Multistep Forecasting of Time Series. - Yuqing Tang 002; Fusheng Yu; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2024)

Design Trend Fuzzy Granulation-Based Three-Layer Fuzzy Cognitive Map for Long-Term Forecasting of Multivariate Time Series. - Fei Yang; Fusheng Yu; Chenxi Ouyang; Yuqing Tang 002 (IEEE Trans. Fuzzy Syst., 2024)

Equipping high-order fuzzy cognitive map with interpretable weights for multivariate time series forecasting. - Chenxi Ouyang; Fusheng Yu; Fei Yang (Appl. Soft Comput., 2025)

Knowledge-guided clustering based algorithm for cross-domain recommendation problems with partially overlapping users and multiple source-domains. - Jiaqi Chang; Fusheng Yu (Expert Syst. Appl., 2025)

Trend-pattern unlimited fuzzy information granule-based LSTM model for long-term time-series forecasting. - Yanan Jiang; Fusheng Yu; Yuqing Tang 002; Chenxi Ouyang; Fangyi Li (Int. J. Approx. Reason., 2025)

Multi-view clustering based on pairwise co-regularization and robust dual graph non-negative matrix factorization. - Huiguo Tang; Shihu Liu; Yi Tang 003; Fusheng Yu (Neurocomputing, 2025)

An interval-valued matrix factorization based trust-aware collaborative filtering algorithm for recommendation systems. - Jiaqi Chang; Fusheng Yu; Chenxi Ouyang; Huilin Yang; Qian He; Lian Yu (Inf. Sci., 2025)

Causalities-multiplicity oriented joint interval-trend fuzzy information granulation for interval-valued time series multi-step forecasting. - Yuqing Tang 002; Fusheng Yu; Wenyi Zeng; Chenxi Ouyang; Yanan Jiang; Yuming Liu (Inf. Sci., 2025)

Design linear fuzzy information granule-based two-layer fuzzy cognitive map for long-term time series forecasting. - Fei Yang; Chenxi Ouyang; Fusheng Yu (Inf. Sci., 2025)