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 …

Based on results from cognitive science, this paper examines the two fields of three-way
decision and granular computing, as well as their interplay. The ideas from one field shed …

In this work we introduce a framework, based on three-way decision (TWD) and the
trisecting-acting-outcome model, to handle uncertainty in Machine Learning (ML). We …

The underlying philosophy of three-way decision is thinking in threes, namely,
understanding and processing a whole through three distinct and related parts. One can …

The key strategy of the three-way decisions theory is to consider a decision-making problem
as a ternary classification one (ie acceptance, rejection and non-commitment). Recently, this …

A trisecting-and-acting model explains three-way decisions (3WD) in terms of two basic
tasks. One task is to divide a universal set into three pair-wise disjoint regions called a …

Many previous studies on face recognition attempted to seek a precise classifier to achieve
a low misclassification error, which is based on an assumption that all misclassification costs …

As a natural extension of three-way decisions with incomplete information, this paper
provides a novel three-way decision model based on incomplete information system. First …

The model of three-way concept lattices, a novel model for widely used three-way decisions,
is an extension of classical concept lattices in formal concept analysis. This paper …

Deep neural network models have achieved remarkable results in sentiment classification.
Traditional feature-based methods perform slightly worse than deep learning methods in …