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 …

Granular computing, as a new and rapidly growing paradigm of information processing, has
attracted many researchers and practitioners. Granular computing is an umbrella term to …

Granular computing (GrC) and two-way concept learning (TCL) are influential studies of
knowledge processing and cognitive learning. A central notion of two-way concept learning …

The original rough set model was developed by Pawlak, which is mainly concerned with the
approximation of sets described by a single binary relation on the universe. In the view of …

The main task of granular computing (GrC) is about representing, constructing, and
processing information granules. Information granules are formalized in many different …

Research into human-centered information processing, as evidenced through the
development of fuzzy sets and fuzzy logic, has brought additional insight into the …

Abstract Information granulation and concept approximation are some of the fundamental
issues of granular computing. Granulation of a universe involves grou** of similar …

Based on the notion of granular structures, a triarchic theory of granular computing
integrates three important perspectives, namely, philosophy of structured thinking …

In this study, a hierarchical electroencephalogram (EEG) classification system for epileptic
seizure detection is proposed. The system includes the following three stages:(i) original …

In the real world, data distributions often exhibit multiple granularities. However, the majority
of existing neighbor-based machine-learning methods rely on manually setting a single …