Rough set theory, proposed by Zdzislaw Pawlak in 1982, has been attracting researchers and practitioners in various fields of science and technology. The interest in rough set theory and applications is remarkable since the beginning, and it is still growing. The ingenious concepts of rough set has been a base for original developments in both theoretical research, including logics, algebra and topology, and applied research, including knowledge discovery, data mining, decision theory, artificial intelligence and approximate reasoning. The latter led to many real life applications in so diversified areas as medicine, bioinformatics, economy, finance, political analysis, chemistry, engineering, environment, and even art and culture. As the rough set concept handles a specific type of data "imperfection" related to granularity of information, it is complementary to other concepts used for handling data "imperfection", like fuzzy sets, Bayesian reasoning, neural networks, evolutionary algorithms, statistics and logical analysis of data. This complementarity is exploited in hybrid approaches improving the performance of data analysis tools.
The biannual international conference on Rough Sets and Current Trends in Computing (RSCTC) provides state-of-the-art in rough set theory, current computing methods and their applications. It is intended to bring together researchers and practitioners from universities, laboratories and industry, to facilitate dialogue and cooperation.
RSCTC is an outgrowth of a series of annual International Workshops devoted to the subject of rough sets, started in Poznan, Poland in 1992, and then held alternatively in Canada, the USA, Japan and China (RSKD, RSSC, RSFDGrC, RSGrC series).
The first RSCTC conference was held in