Skip to main content
SpringerLink
Log in
Book cover

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

IPMU 1988: Uncertainty and Intelligent Systems pp 87–92Cite as

An alternative semantics for linguistic variables

  • Fuzzy Sets And Possibility Theory
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 313))

Abstract

The concept of a linguistic variable, first introduced by Zadeh [5], is here modified and reinterpreted with the aim of producing a computationally more manageable model of natural human reasoning with linguistic imprecision. An important characteristic of the new interpretation is that it establishes the meaning of linguistic terms relative to a context comprised of the available atomic linguistic terms. This in turn leads to a formal distinction between the precision of linguistic terms and their specificity.

A future work is planned wherein the new formulation will be explored as the possible basis for an intuitively plausible semantics for Horn clauses. It is hoped that this will yield a viable approach to approximate reasoning in various kinds of automated deduction systems.

This work was supported by the Office of Naval Research, Grant Number N00014-87-G-0219.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. E. Bellman and L. A. Zadeh, Local and fuzzy logics. In J.M. Dunn and G. Epstien (eds.), Modern Uses of Multiple Valued Logics, Dorderecht: D. Reidel, 1977, pp. 103–165.

    Google Scholar 

  2. K. J. Schmucker, Fuzzy Sets, Natural Language Computations, and Risk Analysis, Rockville, MD: Computer Science Press, 1984.

    Google Scholar 

  3. D. G. Schwartz, A model of expert decision making with fuzzy criteria. In Preprints of the Second IFSA Congress, Tokyo, Japan, July 20–25, 1987, Proceedings of the Second Congress of the International Fuzzy Systems Association, pp. 622–624.

    Google Scholar 

  4. R. M. Tong and J. Efstathiou, A critical assessment of truth functional modification and its use in approximate reasoning. Fuzzy Sets and Systems 7 (1982) 103–108.

    Google Scholar 

  5. L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning, Part I: Inf. Sci. 8 (1975) 199–249; Part II: Inf. Sci. 8 (1975) 301–357; Part III: Inf. Sci. 9 (1975) 43–80.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, The Florida State University, 32306, Tallahassee, Florida, U. S. A.

    Daniel G. Schwartz

Authors
  1. Daniel G. Schwartz
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

B. Bouchon L. Saitta R. R. Yager

Rights and permissions

Reprints and permissions

Copyright information

© 1988 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Schwartz, D.G. (1988). An alternative semantics for linguistic variables. In: Bouchon, B., Saitta, L., Yager, R.R. (eds) Uncertainty and Intelligent Systems. IPMU 1988. Lecture Notes in Computer Science, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19402-9_60

Download citation

  • DOI: https://doi.org/10.1007/3-540-19402-9_60

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19402-6

  • Online ISBN: 978-3-540-39255-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation