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On the Treatment of Incomplete Knowledge in Formal Concept Analysis

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Conceptual Structures: Logical, Linguistic, and Computational Issues (ICCS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1867))

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Abstract

Some possible treatments of incomplete knowledge in conceptual data representation, data analysis and knowledge acquisition are presented. In particular, some ways of conceptual scalings as well as the role of the three-valued Kleene-logic are briefly investigated. This logic is also one background in attribute exploration, a conceptual tool for knowledge acquisition. For this method a strategy is given to obtain as much of (attribute) implicational knowledge about a given “universe” as possible; and we show how to represent incomplete knowledge in order to be able to pin down the questions still to be answered in order to obtain complete knowledge in this situation.

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References

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Authors and Affiliations

  1. Department of Mathematics, AG 1, Darmstadt University of Technology, Schloßgartenstr. 7, D-64289, Darmstadt, Germany

    Peter Burmeister & Richard Holzer

Authors
  1. Peter Burmeister
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  2. Richard Holzer
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Editors and Affiliations

  1. Institute of Algebra, University of Technology, Dresden, Germany

    Bernhard Ganter

  2. Département d’informatique et de génie logiciel, Université Laval, Pavillon Adrien-Pouliot, 1065, av. de la Médecine, G1V 0A6, Quebec City, Québec, Canada

    Guy W. Mineau

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© 2000 Springer-Verlag Berlin Heidelberg

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Burmeister, P., Holzer, R. (2000). On the Treatment of Incomplete Knowledge in Formal Concept Analysis. In: Ganter, B., Mineau, G.W. (eds) Conceptual Structures: Logical, Linguistic, and Computational Issues. ICCS 2000. Lecture Notes in Computer Science(), vol 1867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10722280_27

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  • DOI: https://doi.org/10.1007/10722280_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67859-5

  • Online ISBN: 978-3-540-44663-7

  • eBook Packages: Springer Book Archive

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