Research and Advances

Data Mining and Rough Set Theory

This is in response to "Myths about Rough Set Theory" (Nov. 1998, p. 102) by W.W. Koczkodaj, M. Orlowski, and V.W. Marek. The authors raise some important issues and express some legitimate concerns. We are surprised they list rough set theory as the only discipline in which there are two of the cited problems—the discipline […]


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Research and Advances

Rough sets

Rough set theory, introduced by Zdzislaw Pawlak in the early 1980s [11, 12], is a new mathematical tool to deal with vagueness and uncertainty. This approach seems to be of fundamental importance to artificial intelligence (AI) and cognitive sciences, especially in the areas of machine learning, knowledge acquisition, decision analysis, knowledge discovery from databases, expert systems, decision support systems, inductive reasoning, and pattern recognition.

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