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Interval Type 2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicles
IEEE Transactions on Intelligent Vehicles, 2021Autonomous vehicles are aimed to reduce accidents and traffic congestion. Since hybrid electric vehicles offer feasible solutions to reduce energy consumption and emission to the environment, it is expected that autonomous vehicles will be powered ...
Duong Phan +5 more
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IEEE transactions on fuzzy systems, 2022
This article focuses on the finite-time guaranteed cost (FTGC) control problem for interval type-2 (IT2) fuzzy semi-Markov switching systems (S-MSSs) with additive disturbances. Based on the IT2 fuzzy S-MSSs and the state feedback control method, a novel
Linchuang Zhang +5 more
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This article focuses on the finite-time guaranteed cost (FTGC) control problem for interval type-2 (IT2) fuzzy semi-Markov switching systems (S-MSSs) with additive disturbances. Based on the IT2 fuzzy S-MSSs and the state feedback control method, a novel
Linchuang Zhang +5 more
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Generalized Type-2 Fuzzy Equivalence Relation
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2020This paper extends the concept of generalized equivalence relation on type-2 fuzzy set and presents a comprehensive study of type-2 fuzzy G-equivalence relation. Notions like partition of a type-2 fuzzy G-equivalence relation, type-2 fuzzy balance mappings in the type-2 fuzzy set theory are introduced and related theorems are discussed.
Dutta, Dhiman +2 more
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Knowledge-Based Systems, 2021
This paper develops an integrated trapezoidal interval type-2 fuzzy (TrIT2F) technique for democratic-autocratic multi-criteria group decision making based on best-worst method (BWM) and VIKOR (VIsekriterijumska optimizacija i KOm-promisno Resenje ...
S. Wan, Ze-hui Chen, Jiu-ying Dong
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This paper develops an integrated trapezoidal interval type-2 fuzzy (TrIT2F) technique for democratic-autocratic multi-criteria group decision making based on best-worst method (BWM) and VIKOR (VIsekriterijumska optimizacija i KOm-promisno Resenje ...
S. Wan, Ze-hui Chen, Jiu-ying Dong
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Applied Soft Computing, 2020
Failure mode and effect analysis (FMEA) has been widely adopted to define, identity, and remove potential and recognized hazards. As an indicator in traditional FMEA, the risk priority number (RPN) is an effective tool for measuring risk and the ...
Jindong Qin, Yang Xi, W. Pedrycz
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Failure mode and effect analysis (FMEA) has been widely adopted to define, identity, and remove potential and recognized hazards. As an indicator in traditional FMEA, the risk priority number (RPN) is an effective tool for measuring risk and the ...
Jindong Qin, Yang Xi, W. Pedrycz
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Interval Type-2 Fuzzy Differential Equations and Stability
IEEE transactions on fuzzy systems, 2022This article is devoted to present a framework for studying type-2 fuzzy calculus. Some new concepts pertaining to interval type-2 fuzzy functions (IT2FF) and interval type-2 fuzzy differential equations (IT2FDE) with their stability analysis are ...
Marzieh Najariyan, L. Qiu
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
This paper is devoted to the interval type-2 (IT2) fuzzy exponential stability for nonlinear networked sampled-data control systems with random communication links.
Z. Du, Y. Kao, Xudong Zhao
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This paper is devoted to the interval type-2 (IT2) fuzzy exponential stability for nonlinear networked sampled-data control systems with random communication links.
Z. Du, Y. Kao, Xudong Zhao
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Fault Detection for Fuzzy Semi-Markov Jump Systems Based on Interval Type-2 Fuzzy Approach
IEEE transactions on fuzzy systems, 2020This article studies the fault detection problem for continuous-time fuzzy semi-Markov jump systems (FSMJSs) by employing an interval type-2 (IT2) fuzzy approach.
Linchuang Zhang +3 more
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2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2003
This paper describes a computationally fast and simple algorithm that produces an index of support for the diagnosis of diseases based on type-2 fuzzy sets. The procedure allows the specification of fuzzy symptoms by using fuzzy relations to determine a symptom's strength based on its observed intensity and the certainty of its duration.
P.R. Innocent, R.I. John
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This paper describes a computationally fast and simple algorithm that produces an index of support for the diagnosis of diseases based on type-2 fuzzy sets. The procedure allows the specification of fuzzy symptoms by using fuzzy relations to determine a symptom's strength based on its observed intensity and the certainty of its duration.
P.R. Innocent, R.I. John
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IEEE transactions on fuzzy systems, 2021
This article aims to provide a new perspective on how the deployment of general type-2 (GT2) fuzzy sets affects the mapping of a class of fuzzy logic controllers (FLCs).
A. Sakalli, T. Kumbasar, J. Mendel
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This article aims to provide a new perspective on how the deployment of general type-2 (GT2) fuzzy sets affects the mapping of a class of fuzzy logic controllers (FLCs).
A. Sakalli, T. Kumbasar, J. Mendel
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