We invite submissions of original and previously unpublished research on rough set theory, including but not limited to the following topics:

Core Rough Set Models And Methods:

Covering/Neighborhood-based rough set models
Decision-theoretic rough set models
Dominance-based rough set models
Game-theoretic rough set models
Logic in rough set models
Partial rough set models
Rough-Bayesian models
Rough clustering
Rough computing
Rough mereology
Rough-set-based feature selection
Rule-based systems
Variable precision rough set models

Related Methods And Hybridization:

Anomaly, outlier, and novelty detection
Decision support systems
Dempster-Shafer theory
Formal concept analysis
Fuzzy sets
Fuzzy rough sets and rough fuzzy sets
Granular computing
Intelligent agent models
Interval computations
Nature-inspired computation models
Petri nets
Rough sets in data science, artificial intelligence, and machine learning
Three-way decision
Three-way data analytics
Topology and matroids
Uncertain and approximate reasoning
Uncertainty theory

Areas Of Applications:

Astronomy and atmospheric sciences
Big data analytics
Bioinformatics
Business intelligence and business data analytics
Computer vision and image processing
Cybernetics and robotics
Financial markets
Interactive computing
Knowledge discovery
Knowledge engineering and representation
Medicine and health
Natural language processing
Retail and E-commerce
Risk monitoring
Semantic web
Smart cities
Telecommunications
Transportation
Web mining and text mining