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 …

Three-way granular computing is a paradigm of thinking and information processing in three
granules. We introduce a framework of three-way granular computing based on a hexagon …

A theory of three-way decision concerns the art, science, and practice of thinking, problem
solving, and information processing in threes. It explores the effective uses of triads of three …

Attribute reduction serves as a pivotal topic of rough set theory for data analysis. The ideas
of tri-level thinking from three-way decision can shed new light on three-level attribute …

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 …

Pawlak conflict analysis focuses on three-valued ratings of a set of agents on a set of issues,
in which the three values+, 0, and− indicate, respectively, that an agent is positive, neutral …

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

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

In three-way decision, how to reflect the risk attitude in determining decision rules is an
important issue. In the classical three-way decision model, loss functions are used to …

A Pawlak approximation space is a pair of a ground set/space and a quotient set/space of
the ground set induced by an equivalence relation on the ground set. The quotient space is …