Feature selection is a challenging problem in many areas such as pattern recognition,
machine learning and data mining. Rough set theory, as a valid soft computing tool to …

Recent years, various information theoretic based measurements have been proposed to
remove redundant features from high-dimensional data set as many as possible. However …

Intuitionistic fuzzy information systems are generalized types of conventional fuzzy-valued
information systems. By introducing a dominance relation to intuitionistic fuzzy information …

With the advancement of microarray technology, gene expression profiling has shown great
potential in outcome prediction for different types of cancers. Microarray cancer data …

To discover knowledge from hybrid data using rough sets, researchers have developed
several fuzzy rough set models and a neighborhood rough set model. These models have …

Communication between information systems is considered as an important issue in
granular computing. The concept of homomorphism is an effective mathematical tool to …

Study mainly investigates generalized intuitionistic fuzzy (IF) rough sets based on IF
coverings. By using an IF covering, an IF triangular norm, and an IF implicator, two pairs of …

Distance provides a comprehensible perspective for characterizing the difference between
two objects in a metric space. There are many measures which have been proposed and …

Fuzzy rough sets are a generalization of crisp rough sets for measuring inconsistency
between conditional attributes and decision attributes for many decision systems. In many …

This paper proposes a robust method of dimension reduction using fuzzy rough sets, in
which the reduction results can reflect the reducts obtained on all of the possible …