EFMCDM: Evidential fuzzy multicriteria decision making based on belief entropy

F **ao - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
Multicriteria decision making (MCDM) has become one of the most frequently applied
decision making methodologies in various fields. However, uncertainty is inevitably involved …

Enhanced whale optimization algorithm for maximum power point tracking of variable-speed wind generators

MH Qais, HM Hasanien, S Alghuwainem - Applied soft computing, 2020 - Elsevier
This paper proposes an enhancement of the meta-heuristic whale optimization algorithm
(WOA) for maximum power point tracking (MPPT) of variable-speed wind generators. First of …

Whale optimization algorithm-based Sugeno fuzzy logic controller for fault ride-through improvement of grid-connected variable speed wind generators

MH Qais, HM Hasanien, S Alghuwainem - Engineering Applications of …, 2020 - Elsevier
Due to the extensive penetration of wind power plants (WPPs) into the grid, grid codes have
been imposed such that the WPPs stay linked to the grid during faults for a period to …

Adaptive fuzzy inverse optimal fixed-time control of uncertain nonlinear systems

K Lu, Z Liu, H Yu, CLP Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Most existing methods on optimal finite-time control are restricted to a complex design and
learning procedure, and only practical finite-time stable is ensured, which greatly limits the …

Salp swarm algorithm-based TS-FLCs for MPPT and fault ride-through capability enhancement of wind generators

M Qais, HM Hasanien, S Alghuwainem - ISA transactions, 2020 - Elsevier
This article presents an optimum design of Takagi–Sugeno fuzzy logic controllers (TS-FLCs)
to enhance capability of fault ride-through (FRT) and the maximal power point tracking …

Deep additive least squares support vector machines for classification with model transfer

G Wang, G Zhang, KS Choi, J Lu - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The additive kernel least squares support vector machine (AK-LS-SVM) has been well used
in classification tasks due to its inherent advantages. For example, additive kernels work …

KAT: A knowledge adversarial training method for zero-order Takagi–Sugeno–Kang fuzzy classifiers

B Qin, FL Chung, S Wang - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
While input or output-perturbation-based adversarial training techniques have been
exploited to enhance the generalization capability of a variety of nonfuzzy and fuzzy …

A wide interpretable Gaussian Takagi–Sugeno–Kang fuzzy classifier and its incremental learning

R **e, S Wang - Knowledge-Based Systems, 2022 - Elsevier
While wide fuzzy classifiers which combine several TSK fuzzy sub-classifiers with some
aggregation strategy like weighting have been widely developed to achieve good …

Fuzzy clustering-based financial data mining system analysis and design

K Li, Y Chen - International Journal of Foundations of Computer …, 2022 - World Scientific
This paper is based on fuzzy clustering algorithm on financial data, design of financial data
mining system and analysis of financial data, analysis of financial data on the financial …

Solution strategy for sustainable additive manufacturing design problem using Pythagorean fuzzy MCGDM methodology

AF Momena - Complex & Intelligent Systems, 2024 - Springer
To solve difficulties involving various groups' decision-making problems, this work has been
proposed to develop a logical aggregation approach to aggregate decision-makers' crisp …