Scope

The objective of the conference is to investigate rough set theory as receiving increasing 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 and DominanceBased Rough Set Methods,
- Rough-Bayesian Models, Rough Clustering, Rough Computing, Rough Mereology,
- Rough-Set-Based Feature Selection,
- Rule-Based Systems,
- Game-Theoretic Rough Set Methods,
- Variable Consistency / Precision Rough Sets.

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.