Skip to main content
SpringerLink
Log in

An approach to the linguistic summarization of data

  • 8. Uncertainty In Intelligent Systems
  • Conference paper
  • First Online:
Uncertainty in Knowledge Bases (IPMU 1990)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. L.A. Zadeh, “Fuzzy Sets,” Information and Control, Vol. 8, 1965, pp. 328–353.

    Article  Google Scholar 

  2. L.A. Zadeh, “Fuzzy Sets as a Basis for a Theory of Possibility,” Fuzzy Sets and Systems, Vol. 1, 1978, pp. 3–28.

    Article  Google Scholar 

  3. L.A. Zadeh, “PRUF-A Meaning Representation Language for Natural Languages,” Int. J. of Man-Machine Studies, Vol. 10, 1978, pp. 395–460.

    Google Scholar 

  4. R.E. Bellman, and L.A. Zadeh, “Local and Fuzzy Logics,” in Dunn and Epstein, eds., Modern Uses of Multi-Valued Logics, Reidel, Dordect, Holland, 1977.

    Google Scholar 

  5. R.R. Yager, “Quantified Propositions in a Linguistic Logic,” in Proc. 2nd Int. Seminar on Fuzzy Set Theory, Linz, 1981, pp. 69–124.

    Google Scholar 

  6. R.R. Yager, “A Procedure for Ordering Fuzzy Subsets of the Unit Interval,” Information Science, Vol. 24, 1981, pp. 143–161.

    Article  Google Scholar 

  7. R.R. Yager, “Measuring Tranquility and Anxiety in Decision Making,” Int. J. of General Systems, Vol. 8, 1982, pp. 139–146.

    Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kenneth M. Ford
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alberto J. Cañas
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

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

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • 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

Publish with us

Policies and ethics

Search

Navigation