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An approach to the linguistic summarization of data

  • Ronald R. Yager
  • Kenneth M. Ford
  • Alberto J. Cañas
8. Uncertainty In Intelligent Systems
Part of the Lecture Notes in Computer Science book series (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.

Keywords

Summarization fuzzy sets database linguistic summaries 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Ronald R. Yager
    • 1
  • Kenneth M. Ford
    • 2
  • Alberto J. Cañas
    • 3
  1. 1.Machine Intelligence InstituteIona CollegeNew Rochelle
  2. 2.Institute for Human & Machine CognitionThe University of West FloridaPensacola
  3. 3.Institute for Human & Machine CognitionThe University of West FloridaPensacola

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