This subline has as its principal aim the fostering of professional exchanges between scientists and practitioners who are interested in the foundations and applications of rough sets. Topics include foundations and applications of rough sets as well as foundations and applications of hybrid methods combining rough sets with other approaches important for the development of intelligent systems.
We are observing a growing research interest in the foundations of rough sets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identification of autonomous systems, and process specification.
A wide range of applications of methods based on rough set theory alone or in combination with other approaches have been discovered in the following areas: acoustics, biology, business and finance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, parallel and distributed computer systems, sensor fusion, fractal engineering), decision analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, digital image processing, informatics, medicine, molecular biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.
The editors hope that an increase in the dissemination of results, methods, theories and applications based on rough sets will stimulate further development of the foundations and methods for real-life applications in intelligent systems.
- James F. Peters, University of Manitoba, Winnipeg, Canada
- Andrzej Skowron, Warsaw University, Poland
- M. Banerjee, Indian Institute of Technologie Kanpur, India
- J. G. Bazan, University of Rzeszów, Poland
- G. Cattaneo, Università di Milano, Italy
- M.K. Chakraborty, University of Kolkata, India
- D. Ciucci, University of Milan, Italy
- C. Cornelis, Ghent University, Belgium
- I. Duntsch, Brock University, Canada
- A. Gomolinska, University of Bialystok, Poland
- S. Greco, University of Catania, Italy
- J.W. Grzymała-Busse, University of Kansas, USA
- M. Inuiguchi, Osaka University, Japan
- J. Järvinen, Turku Center for Computer Science, Finland
- R. Jensen, Aberystwyth University, Wales, UK
- B. Kostek, Gdańsk University of Technology, Poland
- C.J. Liau, Academia Sinica, Taipei, Taiwan
- P. Lingras, Saint Mary’s University, Halifax, Canada
- V. W. Marek, University of Kentucky, Lexington, USA
- T. Mihálydeák, University of Debrecen, Debrecen, Hungary
- M. Moshkov, Nizhniy Novgorod State University, Russia
- S. Nguyen, Warsaw University, Poland
- E. Orlowska, National Institute of Telecommunications , Warsaw, Poland
- S.K. Pal, Indian Statistical Institute, Calcutta, India
- L. Polkowski, University of Warmia and Mazury, Olsztyn, Poland
- H. Prade, Université Paul Sabatier, IRIT, France
- S. Ramanna, University of Winnipeg, Canada
- D. Slezak, Warsaw University, Poland
- R. Slowinski, Poznan University of Technology, Poland
- J. Stefanowski, Poznan University of Technology, Poland
- J. Stepaniuk, Bialystok University of Technology, Poland
- R. Swiniarski, San Diego State University, USA
- Z. Suraj, Rzeszów University, Poland
- M. Szczuka, Warsaw University, Poland
- S. Tsumoto, Shimane Medical University, Japan
- G. Wang, Chongqing University of Posts and Telecommunications, China
- M. Wolski, Maria Curie-Sklodowska University, Poland
- W.Z. Wu, Zhejiang Ocean University, Zhoushan, China
- Y. Yao, University of Regina, Canada
- N. Zhong, Maebashi Institute of Technology, Japan
- W. Ziarko, University of Regina, Canada
The journal includes high-quality research articles accepted for publication on the basis of thorough peer reviews. Dissertations and monographs up to 250 pages that include new research results can also be considered as regular papers. Extended and revised versions of selected papers from conferences can also be included in regular or special issues of the journal.
Manuscripts should be submitted electronically.