IEEE Transactions on Fuzzy Systems最新文献

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IEEE Transactions on Fuzzy Systems Publication Information
IF 10.7 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-02-04 DOI: 10.1109/TFUZZ.2025.3530196
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引用次数: 0
Constructing Three-way Decision with Fuzzy Granular-ball Rough Sets Based on Uncertainty Invariance
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-30 DOI: 10.1109/tfuzz.2025.3536564
Jie Yang, Zhuangzhuang Liu, Guoyin Wang, Qinghua Zhang, Shuyin Xia, Di Wu, Yanmin Liu
{"title":"Constructing Three-way Decision with Fuzzy Granular-ball Rough Sets Based on Uncertainty Invariance","authors":"Jie Yang, Zhuangzhuang Liu, Guoyin Wang, Qinghua Zhang, Shuyin Xia, Di Wu, Yanmin Liu","doi":"10.1109/tfuzz.2025.3536564","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3536564","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"22 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143072243","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
TOGA-Based Fuzzy Grey Cognitive Map for Spacecraft Debris Avoidance
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-30 DOI: 10.1109/tfuzz.2025.3536785
Chenhui Qin, Yuanshi Liu, Tong Wang, Jianbin Qiu, Min Li
{"title":"TOGA-Based Fuzzy Grey Cognitive Map for Spacecraft Debris Avoidance","authors":"Chenhui Qin, Yuanshi Liu, Tong Wang, Jianbin Qiu, Min Li","doi":"10.1109/tfuzz.2025.3536785","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3536785","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143072242","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
Disturbance Observer-Based Boundary Adaptive Event-Triggered Consensus Control of Multiple Flexible Manipulators
IF 10.7 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-28 DOI: 10.1109/TFUZZ.2024.3489719
Wei Zhao;Xiangqian Yao;Yu Liu
{"title":"Disturbance Observer-Based Boundary Adaptive Event-Triggered Consensus Control of Multiple Flexible Manipulators","authors":"Wei Zhao;Xiangqian Yao;Yu Liu","doi":"10.1109/TFUZZ.2024.3489719","DOIUrl":"10.1109/TFUZZ.2024.3489719","url":null,"abstract":"In this article, we investigate the event-triggered consensus control approaches for multiple single-link flexible manipulators formulated by partial differential equations with time-varying boundary disturbances. By designing an event triggering mechanism based on switching thresholds, the controller can only be updated after the trigger conditions are met, thereby avoiding the waste of network resources. Under local communication conditions, a finite-time distributed observer is constructed to estimate the leader state of a flexible manipulator. Fuzzy logic systems are applied to identify unmodeled dynamics. Disturbance observers are designed to estimate mixed perturbations consisting of disturbances and estimation errors. Moreover, the proposed control method can ensure that all signals in the closed-loop system are bounded, the elastic deflection of each flexible manipulator can be suppressed, the angle achieves consensus control, and Zeno behavior is avoided. Finally, the feasibility of the proposed theory is verified by numerical examples.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"33 2","pages":"799-809"},"PeriodicalIF":10.7,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143054802","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
ADMTSK: A High-Dimensional Takagi-Sugeno-Kang Fuzzy System Based on Adaptive Dombi T-Norm
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-28 DOI: 10.1109/tfuzz.2025.3535640
Guangdong Xue, Liangjian Hu, Jian Wang, Sergey V. Ablameyko
{"title":"ADMTSK: A High-Dimensional Takagi-Sugeno-Kang Fuzzy System Based on Adaptive Dombi T-Norm","authors":"Guangdong Xue, Liangjian Hu, Jian Wang, Sergey V. Ablameyko","doi":"10.1109/tfuzz.2025.3535640","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3535640","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"24 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143054803","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
Probabilistic Linguistic Convolutional Neural Network Dealing With Low-Quality Image Classification
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-27 DOI: 10.1109/tfuzz.2025.3534903
Xiangyu Xiao, Zeshui Xu, Weidong Gan, Tong Wu, Yuanhang Zheng
{"title":"Probabilistic Linguistic Convolutional Neural Network Dealing With Low-Quality Image Classification","authors":"Xiangyu Xiao, Zeshui Xu, Weidong Gan, Tong Wu, Yuanhang Zheng","doi":"10.1109/tfuzz.2025.3534903","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3534903","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"16 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050092","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 Fuzzy Logic-Based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy 基于模糊逻辑的功能近红外光谱预测人类互动的方法
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-22 DOI: 10.1109/tfuzz.2025.3528376
Xiaowei Jiang, Liang Ou, Yanan Chen, Na Ao, Yu-Cheng Chang, Thomas Do, Chin-Teng Lin
{"title":"A Fuzzy Logic-Based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy","authors":"Xiaowei Jiang, Liang Ou, Yanan Chen, Na Ao, Yu-Cheng Chang, Thomas Do, Chin-Teng Lin","doi":"10.1109/tfuzz.2025.3528376","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3528376","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"12390 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143020703","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
Online Self-Learning Fuzzy Recurrent Stochastic Configuration Networks for Modeling Nonstationary Dynamics 用于非平稳动力学建模的在线自学习模糊递归随机组态网络
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-22 DOI: 10.1109/tfuzz.2025.3532652
Gang Dang, Dianhui Wang
{"title":"Online Self-Learning Fuzzy Recurrent Stochastic Configuration Networks for Modeling Nonstationary Dynamics","authors":"Gang Dang, Dianhui Wang","doi":"10.1109/tfuzz.2025.3532652","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3532652","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"104 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143020702","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
Guaranteed State Estimation for $mathscr {H}_-/mathscr {L}_infty$ Fault Detection of Uncertain Takagi-Sugeno Fuzzy Systems With Unmeasured Nonlinear Consequents 具有不可测非线性后果的不确定Takagi-Sugeno模糊系统$mathscr {H}_-/mathscr {L}_infty$故障检测的保证状态估计
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-21 DOI: 10.1109/tfuzz.2025.3532221
Masoud Pourasghar, Anh-Tu Nguyen, Thierry-Marie Guerra
{"title":"Guaranteed State Estimation for $mathscr {H}_-/mathscr {L}_infty$ Fault Detection of Uncertain Takagi-Sugeno Fuzzy Systems With Unmeasured Nonlinear Consequents","authors":"Masoud Pourasghar, Anh-Tu Nguyen, Thierry-Marie Guerra","doi":"10.1109/tfuzz.2025.3532221","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3532221","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"59 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992781","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 Fuzzy Measure and Choquet Integral-Based Approach in the Predictive Knowledge-Based Systems: Application to the Electricity Demand Forecasting 基于模糊测度和Choquet积分的预测知识系统方法在电力需求预测中的应用
IF 10.7 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-17 DOI: 10.1109/TFUZZ.2024.3525081
M. Rostam Niakan Kalhori;Gleb Beliakov
{"title":"A Fuzzy Measure and Choquet Integral-Based Approach in the Predictive Knowledge-Based Systems: Application to the Electricity Demand Forecasting","authors":"M. Rostam Niakan Kalhori;Gleb Beliakov","doi":"10.1109/TFUZZ.2024.3525081","DOIUrl":"10.1109/TFUZZ.2024.3525081","url":null,"abstract":"In a data-driven knowledge-based forecasting system, knowledge can be extracted from historical data by machine learning methods, and represented in the knowledge base. In the inference engine of such a system, the current inputs are used to forecast the likely outputs. The unpredictability of one (or more) inputs in the forecasting horizon, gives rise to one source of uncertainty in the reasoning process, named evidence uncertainty, which is the main focus of this article. To deal with this sort of uncertainty numerical scenarios are generated from historical data to substitute the uncertain input parameter using two approaches: Uniform sampling, and a classical nonuniform sampling acceptance–rejection method. Each input scenario has particular output, and at the end these outputs are aggregated with the discrete Choquet integral to account for outputs' dependencies. Fuzzy measures, also called capacities or nonadditive measures, assign the importance weight not to just each scenario but also to groups of scenarios. A fuzzy measure for the Choquet integral is learned from the historical data. The proposed reasoning approach is evaluated in a long-term relative electricity load forecasting, and treats the uncertainty which arises from unpredictability of the daily temperature in the long run. The results show the superiority of the proposed Choquet integral-based approach with respect to the <inline-formula><tex-math>$k$</tex-math></inline-formula>-interactive, <inline-formula><tex-math>$k$</tex-math></inline-formula>-additive, and <inline-formula><tex-math>$k$</tex-math></inline-formula>-tolerant fuzzy measures compared to traditional aggregators: the weighted arithmetic mean, and the ordered weighted averaging.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"33 4","pages":"1379-1390"},"PeriodicalIF":10.7,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988968","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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