Pub Date : 2026-01-22DOI: 10.1109/tfuzz.2026.3657119
Zhen Hua, Shijie Xu, Jianjia Wang, Jingxuan Liu, Luis Martinez
{"title":"Bi-level Consensus in Large-Scale Group Decision-Making: Integrating Structural Holes and Community Dynamics","authors":"Zhen Hua, Shijie Xu, Jianjia Wang, Jingxuan Liu, Luis Martinez","doi":"10.1109/tfuzz.2026.3657119","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3657119","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"39 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042591","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}
To enhance the efficiency and safety of transportation, low-altitude economy has garnered increasing attention. In this study, we consider air–ground systems composed of both uncrewed ground vehicles and uncrewed aerial vehicles. A novel integrated framework for modeling, control, and optimization is proposed, which creatively unifies kinematics, dynamics, and control into a structured setting for approximate constraint following. The framework consists of three key phases. First, in the modeling phase, desired system behaviors, such as collision avoidance, compact formation, and trajectory tracking, are formulated into a unified performance metric. This metric is then treated as a constraint, and the system’s dynamics for approximate constraint following are derived using the Udwadia–Kalaba approach. Second, in the control phase, an adaptive robust control scheme is developed to compensate for system uncertainties. Notably, the method does not require prior knowledge of the uncertainty bounds, while still guaranteeing consistent system performance in uncertain environments. Third, in the optimization phase, the fuzzy nature of the uncertainty bounds is considered. The uncertainty bound is modeled as a fuzzy set characterized by a membership function, which is incorporated into a fuzzy-theoretic performance index. The Pareto-optimal game theory is then employed to determine the optimal control parameters. The proposed framework enables the air–ground logistics system to follow constraints with reduced error, as validated through simulation results.
{"title":"A Fuzzy-Theoretic Cooperative Game Framework for Adaptive Robust Control of Air–Ground Vehicle Systems","authors":"Xiaomin Zhao;Binhua Dang;Ye-Hwa Chen;Fangfang Dong;Jin Huang","doi":"10.1109/TFUZZ.2025.3636399","DOIUrl":"10.1109/TFUZZ.2025.3636399","url":null,"abstract":"To enhance the efficiency and safety of transportation, low-altitude economy has garnered increasing attention. In this study, we consider air–ground systems composed of both uncrewed ground vehicles and uncrewed aerial vehicles. A novel integrated framework for modeling, control, and optimization is proposed, which creatively unifies kinematics, dynamics, and control into a structured setting for approximate constraint following. The framework consists of three key phases. First, in the modeling phase, desired system behaviors, such as collision avoidance, compact formation, and trajectory tracking, are formulated into a unified performance metric. This metric is then treated as a constraint, and the system’s dynamics for approximate constraint following are derived using the Udwadia–Kalaba approach. Second, in the control phase, an adaptive robust control scheme is developed to compensate for system uncertainties. Notably, the method does not require prior knowledge of the uncertainty bounds, while still guaranteeing consistent system performance in uncertain environments. Third, in the optimization phase, the fuzzy nature of the uncertainty bounds is considered. The uncertainty bound is modeled as a fuzzy set characterized by a membership function, which is incorporated into a fuzzy-theoretic performance index. The Pareto-optimal game theory is then employed to determine the optimal control parameters. The proposed framework enables the air–ground logistics system to follow constraints with reduced error, as validated through simulation results.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"34 2","pages":"679-692"},"PeriodicalIF":11.9,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042639","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}
Pub Date : 2026-01-14DOI: 10.1109/tfuzz.2026.3654110
Doyoung Kim, Seongbin Park, Junyoung Park, Hanju Kim, Myungha Cho, Unil Yun
{"title":"Advanced Temporal Fuzzy Utility Pattern Analysis for Dynamic Uncertain Data Streams","authors":"Doyoung Kim, Seongbin Park, Junyoung Park, Hanju Kim, Myungha Cho, Unil Yun","doi":"10.1109/tfuzz.2026.3654110","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3654110","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"60 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972416","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":"DDHRPS: A Data-driven Hierarchical Method for Constructing Random Permutation Set from the Perspective of Layer-2 Belief Structure","authors":"Luyuan Chen, Xinghua Zhou, Peidong Gao, Zhan Deng, Yu Yang, Yin Wu, Pierpaolo D'Urso","doi":"10.1109/tfuzz.2026.3654276","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3654276","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"267 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972437","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}
Pub Date : 2026-01-14DOI: 10.1109/tfuzz.2026.3654194
Yuan Gao, Zi-Yun Wang, Yan Wang, Zhen-Hua Wang, Ju H. Park
{"title":"Interval-observer-based Zonotopic Residual Fault Detection and Isolation for Lipschitz Nonlinear T-S Fuzzy Systems","authors":"Yuan Gao, Zi-Yun Wang, Yan Wang, Zhen-Hua Wang, Ju H. Park","doi":"10.1109/tfuzz.2026.3654194","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3654194","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"41 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972415","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}
Pub Date : 2026-01-12DOI: 10.1109/tfuzz.2026.3650858
Shoulin Yin, Liguo Wang, Asif Ali Laghari, Lin Teng, Gautam Srivastava, Ahmad Almadhor, Thippa Reddy Gadekallu
{"title":"FGM-MLSD: A Fuzzy Region Competition and Gaussian Mixture Segment Model Via Modified Line Segment Detector Model for Airport Object Saliency Detection in Remote Sensing Images","authors":"Shoulin Yin, Liguo Wang, Asif Ali Laghari, Lin Teng, Gautam Srivastava, Ahmad Almadhor, Thippa Reddy Gadekallu","doi":"10.1109/tfuzz.2026.3650858","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3650858","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"46 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955256","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}
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