Article
Mathematics
Elissa Nadia Madi, Zahrahtul Amani Zakaria, Aceng Sambas, Sukono
Summary: In the past century, there has been a growing interest and numerous studies in the multi-criteria group decision-making (MCGDM) technique, particularly in the use of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The integration of TOPSIS with fuzzy set theory has shown success in various applications. However, previous research mostly neglected the added uncertainty represented by type-2 fuzzy sets, especially in certain mathematical operations. This paper proposes a data-driven method that combines TOPSIS with fuzzification, utilizing interval type-2 fuzzy membership functions (IT2 MFs) and providing intervals as the final output.
Article
Chemistry, Physical
Yiqing Zhao, Yuanjin Xu, Serhat Yuksel, Hasan Dincer, Gozde Gulseven Ubay
Summary: This study weights 8 selected determinants and ranks energy alternatives for hydrogen investments using fuzzy techniques, revealing cost-efficiency and reserve adequacy as key factors in hydrogen investments. Renewable energy sources are found to be more suitable for hydrogen production, with technological capacity and legal regulations also playing critical roles.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Computer Science, Artificial Intelligence
S. Mohammad Tahamipour-Z, Mohammad-R. Akbarzadeh-T, Fahimeh Baghbani
Summary: In this paper, a hybrid framework of interval type-2 fuzzy systems and generalized fuzzy hyperbolic models (GFHMs) is proposed for modeling and controlling nonlinear systems. Experimental results demonstrate the advantages of this approach in handling uncertainty, simplifying computational structure, and improving tracking performance.
APPLIED SOFT COMPUTING
(2022)
Article
Computer Science, Cybernetics
Hong Mo, Haihong Hu, Jinhui Hu, Yuanyuan Li, Xiao Wang, Fei-Yue Wang
Summary: In this article, a risk evaluation model for breast cancer based on interval type-2 fuzzy sets and two-level fuzzy comprehensive evaluation is proposed. The prevention strategies and intervention measures for different risk levels are discussed, and the prevention scheme is dynamically controlled and optimized through computational experiments and parallel monitoring.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Li Wu, Fucai Qian, Min Wang, Ting Shang
Summary: This article presents an improved Enhanced Opposite Direction Searching (IEODS) algorithm to achieve more efficient type reduction by adjusting the width of the membership functions. Quantitative analysis and simulation experiments show that the IEODS algorithm can save over 90% of the iterations required in the original algorithm, making it suitable for practical applications.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Yekai Yang, Yugang Niu, Jiarui Li
Summary: This work investigates the self-triggered control issue for interval type-2 (IT2) fuzzy systems. A self-triggered scheme is used to determine the transmission of the system state. A self-triggered IT2 fuzzy controller is designed, which allows flexible selection of fuzzy rules and membership functions (MFs) independent of the controlled fuzzy system. The relationship between the triggered state and the system state is explicitly established, and the boundaries of MFs in the local operation region are given.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Yang Li, Hongbin Zhang, Xiaozeng Xu
Summary: This paper studies the intermittent H-infinity control problem and proposes a novel virtual-clock-dependent H-infinity intermittent IT2 fuzzy controller design scheme. Sufficient conditions are obtained for the existence of the H-infinity intermittent IT2 fuzzy controllers for DSIT2FSs with dwell time constraints. The effectiveness and advantages of the results are illustrated through examples.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Tao Gao, Xiao Bai, Chen Wang, Liang Zhang, Jin Zheng, Jian Wang
Summary: This paper presents a method for computing the firing strength values of type-2 fuzzy models, which improves the performance of the fuzzy model and conducts convergence analysis.
PATTERN RECOGNITION
(2022)
Article
Automation & Control Systems
Yang Li, Hongbin Zhang, Xiaozeng Xu, Qunxian Zheng
Summary: This article studies the periodically intermittent control problem of discrete-time switched interval type-2 fuzzy systems with dwell time constraints. A novel switching-path-dependent Lyapunov functions approach is proposed, which utilizes the switching path information over multiple controller operation periods. Sufficient conditions on the existence of H-infinity intermittent interval type-2 fuzzy controllers are obtained, and the controller gains can be calculated by solving a set of strict linear matrix inequalities. It is shown that the designed IT2 fuzzy controllers work intermittently but still guarantee stability and H-infinity performance of the close-loop systems.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Mikaeel Mokhtari, Tofigh Allahviranloo, Mohammad Hassan Behzadi, Farhad Hoseinzadeh Lotfi
Summary: Uncertainty is an important attribute of data, and fuzzy regression methods can explain, predict, and control randomness, fuzziness, and outliers in uncertain environments. In this study, a new two-stage fuzzy linear regression model is proposed, where interval type-2 fuzzy least absolute deviation method is used to estimate regression coefficients and cutoff points are introduced to remove outliers.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Mengzhuo Luo, Jun Cheng, Kaibo Shi, Cuiyu Hu, Jindan Lan
Summary: This study addresses security synchronization issues for a class of interval type-2 fuzzy stochastic multiplex complex networks under deception attacks, proposing a novel hybrid controller design and demonstrating its feasibility with numerical examples. The research considers both complex network structures and impulsive effects to ensure system stability and error convergence.
Article
Computer Science, Artificial Intelligence
Aidong Ge, Zhen Chang, Jun-e Feng
Summary: A new modeling method for IT2 FLS based on STP fuzzy representation technique is proposed in this study, and the unknown fuzzy rules are addressed by training the parameters. Simulation results demonstrate the feasibility of designing IT2 FLS using the STP method.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Mathematics, Applied
Mikaeel Mokhtari, Tofigh Allahviranloo, Mohammad Hassan Behzadi, Farhad Hoseinzadeh Lotfi
Summary: This study introduces a new fuzzy least-squares deviation estimator based on extended Euclidean distance for formulating regression models in the full IT2F environment. The study also proposes new formulas for estimating parameters of the IT2F regression model and introduces a new algorithm for detecting outliers based on the distance between estimated and observed fuzzy responses.
COMPUTATIONAL & APPLIED MATHEMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Ramasamy Kavikumar, Oh-Min Kwon, Boomipalagan Kaviarasan, Rathinasamy Sakthivel
Summary: This paper presents a quantized antidisturbance control design problem for a class of interval type-2 (IT2) fuzzy stochastic systems subject to time delays and multiple disturbances. Due to the inherent uncertain nonlinear and hybrid characteristics of the system, designing a stable antidisturbance controller becomes difficult. To properly reflect the characteristics of IT2 fuzzy stochastic models with multiple disturbances, a new fuzzy disturbance observer is proposed. A quantized fuzzy antidisturbance control scheme is then synthesized by fusing the estimation of the multiple disturbances. With the support of Lyapunov functional method, Ito's formula, and auxiliary function-based integral inequality, the resulting IT2 fuzzy stochastic systems are proved to be robustly stochastically stable with mixed H-infinity/passivity performance index. The design methods are formulated using linear matrix inequalities for easy obtainment of gain matrices. Simulation studies on three examples justify the efficiency of the designed control strategy.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Thermodynamics
Pengfei Zhou, Jie Luo, Fei Cheng, Serhat Yuksel, Hasan Dincer
Summary: The study aims to identify significant risks in renewable energy investment projects and proposes a novel MCDM model. It highlights the importance of organizational effectiveness and cost efficiency, recommends moderate risk management, emphasizes the need for departmental collaboration, and stresses effective cost control for successful project performance.
