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A Conceptual View of Knowledge Bases in Rough Set Theory

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Rough Sets and Current Trends in Computing (RSCTC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

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Abstract

Basic relationships between Rough Set Theory (RST) and Formal Concept Analysis (FCA) are discussed. Differences between the “partition oriented” RST and the “order oriented” FCA concerning the possibility of knowledge representation are investigated. The fundamental connection between RST and FCA is that the knowledge bases of RST and the scaled many-valued contexts of FCA are shown to be nearly equivalent.

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of Applied Sciences Darmstadt, Schöfferstr. 3, D-64295, Darmstadt, Germany

    Karl Erich Wolff & Karl Erich Wolff

Authors
  1. Karl Erich Wolff
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina Regina, S4S 0A2, Saskatchewan, Canada

    Wojciech Ziarko  & Yiyu Yao  & 

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Wolff, K.E. (2001). A Conceptual View of Knowledge Bases in Rough Set Theory. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_26

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  • DOI: https://doi.org/10.1007/3-540-45554-X_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

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