Volume III of the Transactions on Rough Sets (TRS) introduces advances in the
theory and application of rough sets. These advances have far-reaching implications
in a number of research areas such as approximate reasoning, bioinformatics,
computer science, data mining, engineering (especially, computer engineering
and signal analysis), intelligent systems, knowledge discovery, pattern recognition,
machine intelligence, and various forms of learning. This volume reveals the
vigor, breadth and depth in research either directly or indirectly related to the
rough sets theory introduced by Prof. Zdzis
law Pawlak more than three decades
ago. Evidence of this can be found in the seminal paper on data mining by
Prof. Pawlak included in this volume. In addition, there are eight papers on the
theory and application of rough sets as well as a presentation of a new version
of the Rough Set Exploration System (RSES) tool set and an introduction to
the Rough Set Database System (RSDS).