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IEEE Transactions on Fuzzy Systems最新文献

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Composite Anti-Disturbance Control for T-S Fuzzy Systems With Piecewise-Homogeneous Hidden Semi-Markov Switching 分段齐次隐半马尔可夫切换T-S模糊系统的复合抗干扰控制
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-15 DOI: 10.1109/tfuzz.2026.3744242
Ziwei Zhang, Shengyuan Xu, Qian Ma
{"title":"Composite Anti-Disturbance Control for T-S Fuzzy Systems With Piecewise-Homogeneous Hidden Semi-Markov Switching","authors":"Ziwei Zhang, Shengyuan Xu, Qian Ma","doi":"10.1109/tfuzz.2026.3744242","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3744242","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"43 1","pages":"1-14"},"PeriodicalIF":11.9,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149218699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sliding Prescribed Performance Control with Error-Driven Relaxation for Uncertain Nonlinear Systems 不确定非线性系统的误差驱动松弛滑动预定性能控制
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-15 DOI: 10.1109/tfuzz.2026.3744123
Kaixin Li, Ke Xiao, Yu Xia, Jinde Cao, Radu-Emil Precup, Imre J. Rudas
{"title":"Sliding Prescribed Performance Control with Error-Driven Relaxation for Uncertain Nonlinear Systems","authors":"Kaixin Li, Ke Xiao, Yu Xia, Jinde Cao, Radu-Emil Precup, Imre J. Rudas","doi":"10.1109/tfuzz.2026.3744123","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3744123","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"5 1","pages":"1-12"},"PeriodicalIF":11.9,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149218698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fuzzy Discrete Zeroing Neurodynamics for Time-Varying System of Nonlinear Equations and Inequations With Robot Application 时变非线性方程组的模糊离散归零神经动力学及其在机器人中的应用
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-14 DOI: 10.1109/tfuzz.2026.3743579
Min Yang, Jichen Fu, Jielong Chen, Hui Zhang, Shuai Li
{"title":"Fuzzy Discrete Zeroing Neurodynamics for Time-Varying System of Nonlinear Equations and Inequations With Robot Application","authors":"Min Yang, Jichen Fu, Jielong Chen, Hui Zhang, Shuai Li","doi":"10.1109/tfuzz.2026.3743579","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3743579","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"413 1","pages":"1-14"},"PeriodicalIF":11.9,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149218701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Interval Type-2 Fuzzy Stabilization of Non-Stationary Fractional-Order Financial Systems With Mittag-Leffler Stability Guarantees 具有Mittag-Leffler稳定性保证的非平稳分数阶金融系统的区间2型模糊镇定
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-12 DOI: 10.1109/tfuzz.2026.3741011
Ahmed Elsayed, Ghada Alobaidi, Jehad Alzabut, Eyad Adnan
{"title":"Interval Type-2 Fuzzy Stabilization of Non-Stationary Fractional-Order Financial Systems With Mittag-Leffler Stability Guarantees","authors":"Ahmed Elsayed, Ghada Alobaidi, Jehad Alzabut, Eyad Adnan","doi":"10.1109/tfuzz.2026.3741011","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3741011","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"15 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149152257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-View Visible-Hidden Fuzzy Clustering Via Michaelis-Menten Type Rotated Tensor Rank 基于Michaelis-Menten型旋转张量秩的多视图可见-隐藏模糊聚类
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-12 DOI: 10.1109/tfuzz.2026.3742786
Dingcheng Ji, Shitong Wang
{"title":"Multi-View Visible-Hidden Fuzzy Clustering Via Michaelis-Menten Type Rotated Tensor Rank","authors":"Dingcheng Ji, Shitong Wang","doi":"10.1109/tfuzz.2026.3742786","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3742786","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"1 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149152570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fuzzy-MAP EM: Addressing Data Scarcity in Sequential Decision-Making through Expert Knowledge Modeling Fuzzy-MAP EM：利用专家知识建模解决序列决策中的数据稀缺性
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-09 DOI: 10.1109/tfuzz.2026.3741932
Marco Locatelli, Arjen Hommersom, Roberto Clemens Cerioli, Paola Cavalcante, Daniela Besozzi, Fabio Stella
{"title":"Fuzzy-MAP EM: Addressing Data Scarcity in Sequential Decision-Making through Expert Knowledge Modeling","authors":"Marco Locatelli, Arjen Hommersom, Roberto Clemens Cerioli, Paola Cavalcante, Daniela Besozzi, Fabio Stella","doi":"10.1109/tfuzz.2026.3741932","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3741932","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"49 1","pages":"1-14"},"PeriodicalIF":11.9,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149152582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Industrial Brain: A Neuro-Symbolic Fuzzy System for Human-Like Autonomous Decision-Making and Planning 工业大脑：用于类人自主决策和规划的神经符号模糊系统
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-08 DOI: 10.1109/tfuzz.2026.3741576
Junping Wang, Yibo Xue, Wensheng Zhang, Zhuo Wang, Yushan Ma
{"title":"Industrial Brain: A Neuro-Symbolic Fuzzy System for Human-Like Autonomous Decision-Making and Planning","authors":"Junping Wang, Yibo Xue, Wensheng Zhang, Zhuo Wang, Yushan Ma","doi":"10.1109/tfuzz.2026.3741576","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3741576","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"9 1","pages":"1-11"},"PeriodicalIF":11.9,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149152250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Novel Data-Driven Rule-Base Classifier with Multi-Granularity Modeling and Ensemble Inference Procedures 基于多粒度建模和集成推理的数据驱动规则分类器
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-05 DOI: 10.1109/tfuzz.2026.3740489
Long-Hao Yang, Long-Shuai Zheng, Fei-Fei Ye, Haibo Hu, Ying-Ming Wang
{"title":"A Novel Data-Driven Rule-Base Classifier with Multi-Granularity Modeling and Ensemble Inference Procedures","authors":"Long-Hao Yang, Long-Shuai Zheng, Fei-Fei Ye, Haibo Hu, Ying-Ming Wang","doi":"10.1109/tfuzz.2026.3740489","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3740489","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"21 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ExSNA: Sector Nonlinearity Revisited for exact representation of nonlinear systems 扇区非线性对非线性系统精确表示的再考察
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-02 DOI: 10.1109/tfuzz.2026.3739943
Thierry Marie Guerra, Rafael Silva
{"title":"ExSNA: Sector Nonlinearity Revisited for exact representation of nonlinear systems","authors":"Thierry Marie Guerra, Rafael Silva","doi":"10.1109/tfuzz.2026.3739943","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3739943","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"12 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MGE-DNTSK: A Multi-Granularity Ellipsoidal Dual-Neural TSK Fuzzy Classification System MGE-DNTSK：一个多粒度椭球体双神经模糊分类系统
IF 10.2 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2026-10-01 Epub Date: 2026-08-11 DOI: 10.1109/TFUZZ.2026.3722546
Zhen-Sheng Zang;Meng-Wei Li;Wei Lu;Li-Yong Zhang;Witold Pedrycz
{"title":"MGE-DNTSK: A Multi-Granularity Ellipsoidal Dual-Neural TSK Fuzzy Classification System","authors":"Zhen-Sheng Zang;Meng-Wei Li;Wei Lu;Li-Yong Zhang;Witold Pedrycz","doi":"10.1109/TFUZZ.2026.3722546","DOIUrl":"10.1109/TFUZZ.2026.3722546","url":null,"abstract":"Traditional Takagi–Sugeno–Kang (TSK) fuzzy systems suffer from three fundamental limitations: Exponential rule growth from Cartesian product-based generation, cross-dimensional interaction constraints imposed by T-norm aggregation, and limited expressiveness of linear consequents. To simultaneously address these shortcomings, this article proposes Multi-Granularity Ellipsoidal Dual-Neural TSK (MGE-DNTSK), a novel neural fuzzy classification system comprising a hierarchical granulation layer and a dual-neural TSK (DNTSK) transformation layer. Unlike existing approaches that tackle these limitations in isolation, MGE-DNTSK unifies differentiable information granulation with neural rule generation within a single end-to-end framework. Specifically, the granulation layer constructs tilted hyper-ellipsoidal granules via low-rank Cholesky factorization across coarse, medium, and fine tiers, encoding inter-feature correlations into membership representations with linear parameter complexity. Building upon these representations, the DNTSK layer replaces Cartesian product-based rule generation and linear consequent functions with a shared neural antecedent incorporating adaptive pruning and independent neural consequents, thereby decoupling rule complexity from input dimensionality while enhancing local nonlinear expressiveness. The entire architecture is optimized through a three-stage curriculum protocol. Experiments on 16 benchmark datasets show that MGE-DNTSK achieves leading performance across four evaluation metrics against 15 representative baselines, particularly on high-dimensional data, and a real-world industrial fault-diagnosis case study further exhibits its practical effectiveness.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"34 10","pages":"3389-3403"},"PeriodicalIF":10.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148728143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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