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  • 标题:Rough relation properties
  • 作者:Maria do Carmo Nicoletti ; Joaquim Quinteiro Uchôa ; Margarete T.Z. Baptistini
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2001
  • 卷号:11
  • 期号:3
  • 出版社:De Gruyter Open
  • 摘要:Rough Set Theory (RST) is a mathematical formalism for representing uncertainty that can be considered an extension of the classical set theory. It has been used in many different research areas, including those related to inductive machine learning and reduction of knowledge in knowledge-based systems. One important concept related to RST is that of a rough relation. This paper rewrites some properties of rough relations found in the literature, proving their validity
  • 关键词:rough set theory; rough relation; knowledge representation
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