Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (vol. # 3642)
Publication year: 2005
ISBN: 978-3-540-31824-8
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The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signifcant results in many areas such as , industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications.
Subject: Computer Science, artificial intelligence, cognition, data mining, evolution, evolutionary computation, fuzzy, information system, learning, machine learning, multimedia, probabilistic network, uncertain reasoning
