Three-way decision provides a new perspective for dealing with uncertainty and complexity
in decision-making problems. However, behaviors of decision-makers may be influenced by …

Unsupervised anomaly detection is an important research direction in the process of
unsupervised knowledge acquisition. It has been successfully applied in many fields, such …

Knowledge discovery of heterogeneous data is an active topic in knowledge engineering.
Feature selection for heterogeneous data is an important part of effective data analysis …

Different from the traditional two-way decision paradigm, three-way decisions (3WD) have
been extensively explored in addressing realistic multi-attribute decision making (MADM) by …

This study is concerned with the design of a three-way classification mechanism realized
through combing fuzzy decision trees and expressing uncertainty associated with …

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 …

The concept of q-rung orthopair fuzzy sets (q-ROFSs) severs as an extended form of
orthopair fuzzy sets, which excels in flexibly depicting imprecise information existed in …

As a typical methodology to deal with uncertain issues, the three-way decision (3WD) has
been developed rapidly in nearly ten years, both in theories and applications. Three-way …

In considering of the dynamic variations of user's preference and item's popularity,
sequential recommender system (RS) has attracted much attention in recent years. In …

Neighborhood Learning (NL) is a paradigm covering theories and techniques of
neighborhood, which facilitates data organization, representation and generalization. While …