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 …

A new framework of clustering is proposed inspired by the theory of three-way decisions,
which is an alternative formulation different from the ones used in the existing studies. The …

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 …

Recently, the advancement of cognitive computing and three-way decisions has enabled in-
depth sequential pattern understanding through temporal association analysis. The main …

Abstract Three-way decision (3WD) models have been widely investigated in the fields of
approximate reasoning and decision making. Recently, sequential 3WD models have …

Abstract Three-way decision (3WD) is a granulation-computing paradigm consisting of
trisecting, acting, and outcome (ie, TAO model). Movement-based three-way decision (M …

Three-way group decision-making is an important direction of study in the fields of three-way
decision-making and granular computing and has received much attention from scholars in …

A real-world dataset often generates a huge concept lattice that may be difficult to
understand and impractical to use. The principle of granular computing is that we can …

In situations with incomplete information, we may have only partial knowledge about a
concept. This motivates the introduction of the notion of a partially-known concept …

Recommender systems (RSs) are effective technologies and tools used to deal with the
problems of information overload, and have been developed rapidly in nearly two decades …