Wojciech Ziarko – Communications of the ACM

Research and Advances Apr 1 2000

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 […]

Computing Applications

Author Archives

Research and Advances Nov 1 1999

Discovery Through Rough Set Theory

Recent industry and market research apps demonstrate the decisive power of rough sets.

Systems and Networking

Research and Advances Nov 1 1995

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.

Artificial Intelligence and Machine Learning

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