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 …

As a new data representation in the big data era, a multi-scale decision information system
(MSDIS) realizes “multi-level, multi-angle and multi-view” evaluations in various problems …

Outliers carry significant information to reflect an anomaly mechanism, so outlier detection
facilitates relevant data mining. In terms of outlier detection, the classical approaches from …

In an uncertain and complex decision-making environment, limited by the scope of human
cognition, traditional utility decision-making has a certain deviation to actual decision …

Feature selection acts as an important preprocessing method to reduce redundant
information. In order to effectively evaluate the classification information hidden in a given …

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 …

Three-way decision, an essential granular computing research tool, provides an efficient
solution to complex and uncertain problems. Behavioral decision theory can analyze the risk …

Hierarchical classification is an important research hotspot in machine learning due to the
widespread existence of data with hierarchical class structures. The existing sequential …

Conflict analysis gives guidelines for conflict resolution, which has been thoroughly studied
and received widespread interest. Three-way conflict analysis research has achieved …

Conflict analysis facilitates cause revelation and action treatments for widespread conflicts.
Relevant three-way decisions on agreement, disagreement, and neutrality attitude subsets …