Rough contexts and rough-valued contexts

  • Authors:

  • Feng Jiang;Yuefei Sui;Cungen Cao

  • Affiliations:

  • Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R. China;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R. China;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R. China

  • Venue:
  • RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
  • Year:
  • 2006

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Abstract

Formal Concept Analysis (FCA) is a method mainly used for the analysis of data, which identifies conceptual structures among data sets. Central to FCA is the notion of a formal context. In this paper, we mainly introduce some extended formal contexts to FCA in virtue of some methods from rough set theory. The definitions for formal concepts in these extended contexts and the basic properties about these extended contexts are also given