Titlebook: Rough Sets and Knowledge Technology; First International Guo-Ying Wang,James F. Peters,Yiyu Yao Conference proceedings 2006 Springer-Verla

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Some Contributions by Zdzisław Pawlaks, we realize how greatly he has influenced us with his generous spirit and creative work in many areas such as approximate reasoning, intelligent systems research, computing models, mathematics (especially, rough set theory), molecular computing, pattern recognition, philosophy, art, and poetry. Pa

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Hierarchical Machine Learning – A Learning Methodology Inspired by Human Intelligenced translate from one abstraction level to the others easily, i.e., deal with them hierarchically[1]. But computers can only solve problems in one abstraction level generally. This is one of the reasons that human beings are superior to computers in problem solving and learning. In order to endow the

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