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 …

This paper is devoted to the investigation of the interval type-2 (IT2) fuzzy sampled-data
stabilization problem for the controlled plant subject to nonlinearities and parameter …

Currently, the novel COVID-19 coronavirus has been widely spread as a global pandemic.
The COVID-19 pandemic has a major influence on human life, healthcare systems, and the …

Over the years, financial engineering ranging from the study of financial signals to the
modeling of financial prediction is one of the most exciting topics for both academia and …

This article presents a novel network, contribution-degree-based spiking neural network
(CDSNN), which combines ideas of spiking neural network (SNN) and fuzzy set theory. In …

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 …

Air quality forecasting is a crucial part of megacities control and planning. It is necessary to
develop high-quality forecasting methods in real-world applications, especially the issues …

In this article, a novel interval type-2 Takagi–Sugeno fuzzy-regression modeling method with
a modified distance definition is proposed. The modified distance definition is developed to …

This article proposes a data-driven multiobjective evolutionary interval type-2 fuzzy-logic
system (IT2FLS) learning approach that considers both system performance and rule …

In this article, a switching-event-based interval type-2 variable universe fuzzy tracking
control strategy is proposed for a class of uncertain nonlinear systems. Remarkably, the …