Three-way decision (T-WD) theory is about thinking, problem solving, and computing in
threes. Behavioral decision making (BDM) focuses on effective, cognitive, and social …

The management of uncertainty in decision-making problems remains a very challenging
and timely research issue despite many proposals. An interesting topic in this area in recent …

Incremental feature selection approaches can improve the efficiency of feature selection
used for dynamic datasets, which has attracted increasing research attention. Nevertheless …

The approximation space in rough set theory is important for dealing with uncertainties. As
the information contained in various information systems is constantly updated and changed …

Abstract Information fusion refers to derive an overall precise description of data by using
certain fusion technique for utilizing the complementary information from multiple sources of …

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 …

Three-way decision provides a practical and updated research orientation to deal with
decision problems. In this article, a new three-way decision model combined with Z-numbers …

Feature selection has become one of the hot research topics in the era of big data. At the
same time, as an extension of single-valued data, interval-valued data with its inherent …

A common approach to constructing fuzzy rough sets (FRSs) is using t-norms. Furthermore,
establishing multi-granulation fuzzy rough sets (MGFRSs) is also usually undertaken by …

Exploring feature significance associated with label is a fundamental task in the architecture
of feature selection. Nevertheless, most of the existing schemes are limited by the global …