30 Years of Rough Sets and Future Perspectives
Andrzej Skowron , Andrzej Jankowski , Roman Świniarski
AbstractIn 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.
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|
|Score|| = 10.0, 21-07-2020, BookChapterSeriesAndMatConfByIndicator|
= 15.0, 21-07-2020, BookChapterSeriesAndMatConfByIndicator
|Publication indicators||= 3.0|
|Citation count*||3 (2016-09-06)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.