Interpretable artificial intelligence (AI), also known as explainable AI, is indispensable in
establishing trustable AI for bench-to-bedside translation, with substantial implications for …

In this paper, we offer a review o. lpe-3 fuzzy logic systems and their applications in control.
The main objective of this work is to observe and analyze in detail the applications in the …

This article is concerned with the secure event-triggered (ET) control issue for interval type-2
(IT-2) fuzzy networked systems under stochastic communication (SC) protocol and random …

As an important branch of fuzzy systems, a hierarchical fuzzy system (HFS) has a wide
range of applications in system science, medical science, and engineering. Using the …

In this article, a novel adaptive fixed-time fuzzy control algorithm is designed for uncertain
Euler–Lagrange (EL) systems with actuator control input saturation. In contrast to existing …

Except for linguistic interpretability and uncertainty-handling ability, fuzzy Apriori method
(FAM) is being hurdled by both very expensive computational burdens and low …

Designing machine learning models followed by their deployment in a real-world
environment has been an area of recent pursuits, resulting in a large number of successful …

Fuzzy systems are known to provide not only accurate but also interpretable predictions.
However, their explainability may be undermined if non-semantically grounded linguistic …

The node importance evaluation of internet of drones also called unmanned aerial vehicle
swarm network can assist network administrators in implementing security protection for …

The application of Wireless Sensor Networks (WSNs) in extreme environments is becoming
increasingly widespread. Within these extreme environments, communication links between …