Granular computing studies a novel approach to computing system modeling and
information processing. Although a rich set of work has advanced the understanding of …

Rough sets have often been studied under a three-valued logic framework. In this paper, we
attempt to extend the previous study in two ways. Firstly, we extend the previous study from …

As an emerging research method to deal with information and knowledge processing,
various topics of granular computing have recently received more attention by researchers …

Abundant medical data are generated in the digital world every second. However, gathering
helpful information from these data is difficult. Gathering useful information from the dataset …

Though many hierarchical structures have been proposed to analyze the finer or coarser
relationships between two granulation spaces, these structures can only be used to …

In recent years, the deep neural network technology has developed rapidly and has been
effective in processing and analyzing images, videos, sounds and many other aspects …

Granular representations of crisp and fuzzy sets play an important role in rule induction
algorithms based on rough set theory. In particular, arbitrary fuzzy sets can be approximated …

Uncertainty measurement is considered as a vital quantitative way for analyzing and mining
potential characteristic features in different types of decision tables. However, considering …

How to reduce the complexity of lattice construction is an important research topic in formal
concept analysis. Based on granularity tree, the relationship between the extent and the …

In the traditional two-way decision, there are only two kinds of decisions (ie, acceptance and
rejection). It will sometimes pay unnecessary costs when one makes decisions in this way …