Current brain cognitive models are insufficient in handling outliers and dynamics of
electroencephalogram (EEG) signals. This article presents a novel self-paced dynamic …

Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

As a responsible business philosophy, sustainable management is becoming a widely
accepted management mode among managers, practitioners, stakeholders, and customers …

Due to the influence of volume conduction, information redundancy exists between
electrodes in electroencephalogram (EEG) signals, resulting in low spatial resolution …

This article investigates the problem of quantized fuzzy control for discrete-time switched
nonlinear singularly perturbed systems, where the singularly perturbed parameter (SPP) is …

Existing driving fatigue detection methods rarely consider how to effectively fuse the
advantages of the electroencephalogram (EEG) and electrocardiogram (ECG) signals to …

In this article, the uncertain system parameters and disturbances are considered and
described by fuzzy sets theory. Then, a new form of robust control is designed for the fuzzy …

With the increasing popularity of android gaming applications on smart phones, detection of
emotional states of hard-core gamers become the interest of study among psychologists …

一型模糊集可以建模单个用户的语义概念中的不确定性, 即个体内不确定性.
一型模糊系统在控制和机器学习中得到了大量成功应用. 区间二型模糊集能同时建模个体内不 …

Spiking Neural Networks (SNNs) represent the forefront of neuromorphic computing,
promising energy-efficient and biologically plausible models for complex tasks. This paper …