Set-valued information systems are generalized models of single-valued information
systems. In this paper, we propose two new relations for set-valued information systems …

Cognitive informatics and granular computing are two emerging fields of study concerning
information and knowledge processing. A central notion to this processing is information and …

As a special case of information table, multi-scale decision table can usually be observed in
real-life world. In such table, objects may take different values under the same attribute …

Many real data sets in databases may vary dynamically. With the rapid development of data
processing tools, databases increase quickly not only in rows (objects) but also in columns …

Learning from categorical data plays a fundamental role in such areas as pattern
recognition, machine learning, data mining, and knowledge discovery. To effectively …

An information system is an important model in the field of artificial intelligence and its
information structures mean a mathematical structure of the family of information granules …

The current research in granular computing is dominated by set-theoretic models such as
rough sets and fuzzy sets. By recasting the existing studies in a wider context, we propose a …

K-nearest neighbor (KNN) is a classic classifier, which is simple and effective. Adaboost is a
combination of several weak classifiers as a strong classifier to improve the classification …

Human granulation intelligence means that people can observe and analyze the same
problem from various granulation points of view, which generally acknowledge an essential …

Abstract The Multi-Granulation Decision-Theoretic Rough Set (MG-DTRS) is an effective
method for cost-sensitive decision making from multi-view and multi-level. However, the …