Gene expression data classification is an important technology for cancer diagnosis in
bioinformatics and has been widely researched. Due to the large number of genes and the …

Many previous studies on face recognition attempted to seek a precise classifier to achieve
a low misclassification error, which is based on an assumption that all misclassification costs …

As a natural extension of three-way decisions with incomplete information, this paper
provides a novel three-way decision model based on incomplete information system. First …

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

Three-way decisions with decision-theoretic rough sets (DTRSs) provide a new
methodology to confront risk decision problems. The risk is associated with the loss function …

This chapter emphasizes on the role played by rough set theory (RST) within the broad field
of Machine Learning (ML). As a sound data analysis and knowledge discovery paradigm …

Variable precision multigranulation fuzzy rough sets (VP-MFRSs) use two direct integrations:
the multigranulation maximum and minimum. Their optimistic and pessimistic models …

With the fast developments of three-way decisions (3WD), this paper systematically
summarizes the development track and evolution process of 3WD in recent decades. Firstly …

Abstract Malignant Focal Liver Lesion (FLL) is a main cause of primary liver cancer. In most
existing Computer-Aided Diagnosis (CAD) systems of FLLs, machine learning and data …

Attribute reduction is one of the most fundamental and important topics in rough set theory.
Uncertainty measures play an important role in attribute reduction. In the classical rough set …