30 Years of Rough Sets and Future Perspectives

Andrzej Skowron , Andrzej Jankowski , Roman Świniarski


In the development of rough set theory and applications, one can distinguish three main stages. While the first period was based on the assumption that objects are perceived by means of partial information represented by attributes, in the second period it was assumed that information about the approximated concepts is partial too. Approximation spaces and searching strategies for relevant approximation spaces were recognized as the basic tools for rough sets. Important achievements both in theory and applications were obtained. Nowadays, a new period for rough sets is emerging.
Author Andrzej Skowron
Andrzej Skowron,,
, Andrzej Jankowski (FEIT / IN)
Andrzej Jankowski,,
- The Institute of Computer Science
, Roman Świniarski (FoEE)
Roman Świniarski,,
- Faculty of Electrical Engineering
Book Ciucci Davide , Inuiguchi Masahiro, Yao Yiyu , Ślęzak Dominik , Wang Guoyin (eds.): Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. 14th International Conference, RSFDGrC 2013. Proceedings, Lecture Notes in Artificial Intelligence, vol. 8170, 2013, Heidelberg New York Dordrecht London, Springer Berlin Heidelberg, ISBN 978-3-642-41217-2, [978-3-642-41218-9], 397 p., DOI:10.1007/978-3-642-41218-9
front_matter_rsfdgrc.pdf / 1.55 MB / No licence information
Keywords in English rough sets granular computing (approximate) Boolean reasoning interactions adaptive judgment
URL http://link.springer.com/chapter/10.1007/978-3-642-41218-9_1
Languageen angielski
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 10.0, 21-07-2020, BookChapterSeriesAndMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 21-07-2020, BookChapterSeriesAndMatConfByIndicator
Publication indicators GS Citations = 3.0
Citation count*3 (2016-09-06)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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