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 …

Abstract Three-way decisions (3WD) is an important methodology in solving problems with
uncertainty. A systematic analysis on three-way based uncertainty measures is conducive to …

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 …

In some real-world situations, Pythagorean fuzzy sets are more powerful and effective than
intuitionistic fuzzy sets to describe vague and uncertain information, and there are many …

A theory of three-way decision is about thinking, problem-solving, and computing in threes
or through triads. In this paper, we review fifteen years of research on three-way decision by …

By combining ideas from three-way decision and Pedrycz shadowed sets, this paper
investigates two possible solutions to the problem of constructing a shadowed set from an …

This paper introduces a model of three-way conflict analysis by reformulating and extending
the original model by Pawlak. The proposed model is based on the philosophy …

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

Neighborhood rough sets are widely used as an effective tool to deal with numerical data.
However, most of the existing neighborhood granulation models cannot well describe the …

Three-way decisions theory has been developed and applied to decision making in
uncertain environments. Decision tasks under ambiguity involving both missing values and …