Scope

The objective of the conference is to investigate rough set theory which receives more and more attention in varied hybrid approaches in different practical fields, with a special emphasis on fostering interaction between academia and industry. Topics may include but are not limited to:

Core Rough Set Models and Methods:

• Covering/Neighborhood-Based Rough Set Models,
• Decision-Theoretic Rough Set Methods,
• Dominance-Based Rough Set Methods,
• Rough-Bayesian Models,
• Rough Clustering,
• Rough Computing,
• Rough Mereology,
• Rough-Set-Based Feature Selection,
• Rule-Based Systems,
• Partial Rough Set Models,
• Game-Theoretic Rough Set Methods,
• Variable Consistency / Precision Rough Sets,
• Logic in Different Rough Set Models.

Related Methods and Hybridization:

• Artificial Intelligence,
• Machine Learning,
• Pattern Recognition,
• Decision Support Systems,
• Fuzzy Sets and Near Sets,
• Uncertain and Approximate Reasoning,
• Information Granulation,
• Computing With Words,
• Formal Concept Analysis,
• Petri Nets,
• Intelligent Agent Models,
• Interactive Computing,
• Nature-Inspired Computation Models,
• Natural Language Processing,
• Big Data Processing.

Areas of Applications:

• Medicine and Health,
• Bioinformatics,
• Business Intelligence,
• Telecommunications,
• Smart Cities, Transportation,
• Astronomy and Atmospheric Sciences,
• Semantic Web, Web Mining and Text Mining,
• Financial Markets, Retail and E-Commerce,
• Computer Vision and Image Processing,
• Cybernetics and Robotics,
• Knowledge Discovery,
• Knowledge Engineering and Representation, Risk Monitoring.