Information fusion in rough set theory : An overview

Rough set theory is an efficient tool for dealing with inexact and uncertain information. Numerous studies have focused on rough set theory and associated methodologies, and in recent decades, various models and algorithms have been proposed. To clarify the application of information fusion in rough set theory, this paper presents an overview of existing information fusion approaches and methods for multi-source, multi-modality, multi-scale, and multi-view information systems from the perspective of objects, attributes, rough approximations, attribute reduction, and decision making. We provide a survey of recent applications of these theories and methods in various fields, and identify some potential challenges that require further research.