Abstract Developing Big Data applications has become increasingly important in the last few
years. In fact, several organizations from different sectors depend increasingly on …

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 …

Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …

Incomplete decision contexts are a kind of decision formal contexts in which information
about the relationship between some objects and attributes is not available or is lost …

Uncertainty and fuzziness generally exist in real-life data. Approximations are employed to
describe the uncertain information approximately in rough set theory. Certain and uncertain …

A fundamental notion of granular computing is a multilevel granular structure in which
different levels are characterized by different degrees of abstraction and details. By making …

Feature selection with rough sets aims to delete redundant conditional features from static
data by considering single type features. However, traditional feature selection methods …

As a soft computing tool, rough set theory has become a popular mathematical framework
for pattern recognition, data mining and knowledge discovery. It can only deal with attributes …

Feature selection based on fuzzy rough sets is an effective approach to select a compact
feature subset that optimally predicts a given decision label. Despite being studied …