The concept of three-way decision, interpreted and described as thinking, problem solving,
and information processing in “threes”, has been widely studied and applied in machine …

With the increase in web usage, opinion mining has become a new trend in analysing
opinions. Nevertheless, opinion mining still faces huge challenges, such as uncertainty in …

In this article, we survey the applications of Three-way decision theory (TWD) in machine
learning (ML), focusing in particular on four tasks: weakly supervised learning and multi …

In recent years, an increasing number of researchers have focused on how to leverage
limited information to make more reasonable decisions, thereby reducing the decision …

It is crucial to analyze opinions about the significant shift in education systems around the
world, because of the widespread use of e-learning, to gain insight into the state of …

Three-way opinion classification (3WOC) models are based on a human perspective of
opinion classification and offer human-like decision-making capabilities. The purpose of this …

A three-way decision framework based on fuzzy concepts can better understand uncertain
decision boundaries by automatically dividing opinions into three decision regions: positive …

Attacks launched from IoT networks can cause significant damage to critical network
systems and services. IoT networks may contain a large volume of devices. Protecting these …

Deep learning (DL) is an innovative technology of machine learning (ML); it is a subset of
artificial intelligence (AI). Since neural networks (NN) mimic the activities of the human brain …

This study proposes an investigation into identifying the mechanical parameters of flexible
electric drive systems using different stochastic hybrid PSO methods. The performance of …