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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 1990: Uncertainty in Knowledge Bases pp 456–468Cite as

An approach to the linguistic summarization of data

  • 8. Uncertainty In Intelligent Systems
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 521))

Abstract

We introduce a new approach to the summarization of data based upon the theory of fuzzy subsets. This new summarization allows for a linguistic summary of the data and is useful for both numeric and non-numeric data items. It summarizes the data in terms of three values: a summarizer, a quantity in agreement, and a truth value. We also discuss a procedure for investigating the informativeness of a summary. Finally, we describe Summarizer, an implementation of this new approach to the summarization of data.

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References

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Author information

Authors and Affiliations

  1. Machine Intelligence Institute, Iona College, 10801, New Rochelle, NY

    Ronald R. Yager

  2. Institute for Human & Machine Cognition, The University of West Florida, 32514, Pensacola, FL

    Kenneth M. Ford

  3. Institute for Human & Machine Cognition, The University of West Florida, 32514, Pensacola, FL

    Alberto J. Cañas

Authors
  1. Ronald R. Yager
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  2. Kenneth M. Ford
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  3. Alberto J. Cañas
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Editor information

Bernadette Bouchon-Meunier Ronald R. Yager Lotfi A. Zadeh

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© 1991 Springer-Verlag Berlin Heidelberg

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Yager, R.R., Ford, K.M., Cañas, A.J. (1991). An approach to the linguistic summarization of data. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028132

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  • DOI: https://doi.org/10.1007/BFb0028132

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54346-6

  • Online ISBN: 978-3-540-47580-4

  • eBook Packages: Springer Book Archive

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