The fuzzy logic-based neural network usually forms fuzzy rules via multiplying the input
membership degrees, which lacks expressiveness and flexibility. In this article, a novel …

Diabetes is one of the most common and hazardous diseases, which can affect almost every
organ in the body. Diagnosis of diabetes requires determining all vital parameters related to …

The main contribution of this study is to introduce a simple and effective deep learning
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …

In this paper, to compute the firing strength values of type-2 fuzzy models, a soft version of
minimum is presented, which endows the fuzzy model with the ability to solve large …

Disaster disrupts society to lead a normal life by causing huge casualties and damages or
loss of properties, environment, or essential services of a society or a nation. In the case of a …

In response to the growing imperative of addressing environmental concerns and aligning
with governmental regulations in supply chain management, this study navigates the …

In this article, we propose a novel composite learning framework for interval type-2 (IT2)
fuzzy logic systems (FLSs) to train regression models with a high accuracy performance and …

The dual-inertia system with a flexible load (DSFL) is a complex nonlinear model, which
originates from the flexible load deformation and payload mass variation. In dynamic …

Cyborg intelligence has been devoted to enhancing the physical abilities of humans by
integrating artificial intelligence (AI) with in-the-body technologies and biological behaviors …

Aeroengine fault detection is an important means to ensure flight safety. The application
premise of data driven fault detection method is that all data come from the same …