IEEE Transactions on Fuzzy Systems最新文献

{"title":"Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics","authors":"Dianhui Wang, Gang Dang","doi":"10.1109/tfuzz.2024.3511695","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3511695","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"477 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782804","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}

{"title":"Protocol-Based Sampled-Data Control for T-S Fuzzy Reaction-Diffusion Neural Networks","authors":"Jun Cheng, Na Liu, Leszek Rutkowski, Jinde Cao, Huaicheng Yan","doi":"10.1109/tfuzz.2024.3511120","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3511120","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"31 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142776600","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}

{"title":"IEEE Computational Intelligence Society Information","authors":"","doi":"10.1109/TFUZZ.2024.3492757","DOIUrl":"10.1109/TFUZZ.2024.3492757","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 12","pages":"C3-C3"},"PeriodicalIF":10.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10772386","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IEEE Transactions on Fuzzy Systems Publication Information","authors":"","doi":"10.1109/TFUZZ.2024.3492753","DOIUrl":"10.1109/TFUZZ.2024.3492753","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 12","pages":"C2-C2"},"PeriodicalIF":10.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10772387","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid-Dependent Event-Triggered Schemes for T-S Fuzzy Memristive NNs With Non-Differentiable Delay","authors":"Jing Ping, Song Zhu, Weiwei Luo, Zhen Zhang, Shiping Wen, Chaoxu Mu","doi":"10.1109/tfuzz.2024.3510047","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3510047","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"261 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759902","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}

{"title":"A Fuzzy Neural Network Approach to Adaptive Robust Nonsingular Sliding Mode Control for Predefined-Time Tracking of a Quadrotor","authors":"Yongjun He;Lin Xiao;Zidong Wang;Qiuyue Zuo;Linju Li","doi":"10.1109/TFUZZ.2024.3464564","DOIUrl":"10.1109/TFUZZ.2024.3464564","url":null,"abstract":"In this article, a novel adaptive robust predefined-time nonsingular sliding mode control (ARPTNSMC) scheme is investigated, which aims to achieve fast and accurate tracking control of a quadrotor subjected to external disturbance. Inspiration is drawn from a fuzzy neural network that is constructed by fuzzy logic and zeroing neural network (ZNN). Distinct from most sliding mode control approaches, two nonsingular sliding mode surfaces are formulated by employing general ZNN approaches and differentiable predefined-time activation functions. Furthermore, for the compensation of external disturbance, a dynamic adaptive parameter and a fuzzy adaptive parameter are designed in the attitude control law. The fuzzy adaptive parameter, generated by the Takagi–Sugeno fuzzy logic system, is incorporated to enhance the robustness while reducing the chattering phenomena resulting from the discontinuous sign function. Theoretical proofs are provided to demonstrate the predefined-time convergence and robustness of the closed-loop system. Finally, two trajectory tracking examples are offered to validate the convergence, robustness, and low-chattering characteristics of the closed-loop system under the developed ARPTNSMC scheme.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 12","pages":"6775-6788"},"PeriodicalIF":10.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759903","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}

{"title":"Principal Component Analysis With Fuzzy Elastic Net for Feature Selection","authors":"Yunlong Gao;Qinting Wu;Zhenghong Xu;Chao Cao;Jinyan Pan;Guifang Shao;Feiping Nie;Qingyuan Zhu","doi":"10.1109/TFUZZ.2024.3466926","DOIUrl":"10.1109/TFUZZ.2024.3466926","url":null,"abstract":"Feature selection serves as a fundamental technique in machine learning and data analysis, playing a crucial role in extracting valuable features from large-scale and high-dimensional datasets that may contain irrelevant features. To enhance the performance of feature selection, regularizers like \u0000<inline-formula><tex-math>${ell _{1}}$</tex-math></inline-formula>\u0000-norm or \u0000<inline-formula><tex-math>${ell _{2,1}}$</tex-math></inline-formula>\u0000-norm are commonly utilized to encourage sparsity. Nonetheless, these traditional regularization techniques encounter certain challenges. When correlations exist among features, the sparsity-driven regularization can unfairly diminish weights of correlated features to zero, thus ignoring the feature correlations and lacking group sparsity properties. While a straightforward combination of \u0000<inline-formula><tex-math>${ell _{1}}$</tex-math></inline-formula>\u0000-norm and \u0000<inline-formula><tex-math>${ell _{2}}$</tex-math></inline-formula>\u0000-norm can uncover feature correlations, it lacks adaptability and effectively balancing sparsity and correlation. To address these challenges, we introduce a novel matrix-based regularization term, called a fuzzy elastic net, in the unsupervised feature selection model. Our model is founded on principal component analysis, a well-established dimensionality reduction technique adept at finding subspaces that retain most information from raw data. The model is enhanced by a fuzzy elastic net, which promotes group or sparsity properties through adaptive parameter tuning. The new regularization term introduces a flexible fuzzy weighted scheme combining the \u0000<inline-formula><tex-math>${ell _{2,2}}$</tex-math></inline-formula>\u0000-norm and \u0000<inline-formula><tex-math>${ell _{2,p}}$</tex-math></inline-formula>\u0000-norm (\u0000<inline-formula><tex-math>$0&lt; pleq 1$</tex-math></inline-formula>\u0000). This approach allows adaptive adjustment based on data characteristics, offering a tunable balance between selecting discriminative features and identifying correlated ones. Consequently, this regularization term equips the model to handle diverse data analysis tasks flexibly, thereby enhancing adaptability and generalization performance. Furthermore, we propose an efficient optimization strategy to solve this model. Extensive experiments conducted on UCI datasets and real-world datasets demonstrate the effectiveness and efficiency of our proposed method.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 12","pages":"6878-6890"},"PeriodicalIF":10.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759901","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}

{"title":"Fuzzy Stabilization of Networked Nonlinear Systems with Multiple Stochastic Transmission Intervals, Packet Losses and FDI Attacks","authors":"Hao-Yuan Sun, Shan Wang, Sheng-Li Du, Hong-Gui Han, Jun-Fei Qiao","doi":"10.1109/tfuzz.2024.3507788","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3507788","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"37 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753718","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}

{"title":"Disturbance Suppression for Fuzzy Repetitive-Control Systems Using an Enhanced Equivalent-Input-Disturbance Method","authors":"Manli Zhang, Chengda Lu, Shengnan Tian, Yibing Wang, Min Wu, Makoto Iwasaki","doi":"10.1109/tfuzz.2024.3507009","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3507009","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"10 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753713","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}

{"title":"Impulsive Fixed-Time Bipartite Synchronization of Fuzzy Multilayer Signed Networks","authors":"Xiaofang Hu, Leimin Wang, Yin Sheng, Qiang Xiao, Ming-Feng Ge","doi":"10.1109/tfuzz.2024.3505210","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3505210","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"68 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753709","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}