Abstract Multi-Source Information Fusion (MSIF), as a comprehensive interdisciplinary field
based on modern information technology, has gained significant research value and …

This study provides a comprehensive overview of the publications in Information Sciences
(INS) from 1968 to 2016 inclusive, which encompasses the history of this journal from its …

In this study, we establish an interesting connection between two mathematical approaches
to vagueness: rough sets and soft sets. Soft set theory is utilized, for the first time, to …

We propose a framework for the study of covering based rough set approximations. Three
equivalent formulations of the classical rough sets are examined by using equivalence …

Clustering is one of the most vital image segmentation techniques. However, proper image
clustering has always been a challenging task due to blurred and vague areas near to …

This paper discusses the relationship between soft sets and information systems. It is shown
that soft sets are a class of special information systems. After soft sets are extended to …

This paper investigates some basic properties of covering generalized rough sets, and their
comparison with the corresponding ones of Pawlak's rough sets, a tool for data mining. The …

This paper presents a general framework for the study of fuzzy rough sets in which both
constructive and axiomatic approaches are used. In constructive approach, a pair of lower …

Rough sets, a tool for data mining, deal with the vagueness and granularity in information
systems. This paper studies covering-based rough sets from the topological view. We …

Rough set theory is a useful tool for data mining. It is based on equivalence relations and
has been extended to covering-based generalized rough set. This paper studies three kinds …