Abstract Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary
subject, and is referred to as, multi-sensor information fusion which was originated in the …

There has been an ever-increasing interest in multi-disciplinary research on multisensor
data fusion technology, driven by its versatility and diverse areas of application. Therefore …

Information granules, as encountered in natural language, are implicit in nature. To make
them fully operational so they can be effectively used to analyze and design intelligent …

Feature reduction is an important aspect of Big Data analytics on today's ever-larger
datasets. Rough sets are a classical method widely applied in attribute reduction. Most …

The rough set theory approximates a concept by three regions, namely, the positive,
boundary and negative regions. Rules constructed from the three regions are associated …

After probability theory, fuzzy set theory and evidence theory, rough set theory is a new
mathematical tool for dealing with vague, imprecise, inconsistent and uncertain knowledge …

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 …

Three-way decisions provide a means for trading off different types of classification error in
order to obtain a minimum cost ternary classifier. This paper compares probabilistic three …

The original rough set model was developed by Pawlak, which is mainly concerned with the
approximation of sets described by a single binary relation on the universe. In the view of …

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 …