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Soft Computing for Information Processing and Analysis pp 375–390Cite as

A Foundation for Computing with Words: Meta-Linguistic Axioms

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 164))

Abstract

As a foundation for Computing With Words, meta-linguistic axioms are proposed in analogy to the axioms of classical theory. Consequences of these meta-linguistic expressions are explored in the light of Interval-valued Type 2 Fuzzy Sets. This once again demonstrates that fuzzy set theories and hence CWW have a richer and more expressive power that classical theory.

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Author information

Authors and Affiliations

  1. Knowledge / Intelligence Systems Laboratory Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, M5S 3G8, Canada

    I. Burhan Türkşen (Fellow, IFSA, IEEE and Director)

Authors
  1. I. Burhan Türkşen
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Editor information

Editors and Affiliations

  1. Dept. Electrical Engineering and Computer Science — EECS, University of California, 94720, Berkeley, CA, USA

    Masoud Nikravesh

  2. Div. Computer Science, Lab. Electronics Research, University of California, Soda Hall 387, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  3. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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© 2005 Springer-Verlag Berlin Heidelberg

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Türkşen, I.B. (2005). A Foundation for Computing with Words: Meta-Linguistic Axioms. In: Nikravesh, M., Zadeh, L.A., Kacprzyk, J. (eds) Soft Computing for Information Processing and Analysis. Studies in Fuzziness and Soft Computing, vol 164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32365-1_16

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  • DOI: https://doi.org/10.1007/3-540-32365-1_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22930-8

  • Online ISBN: 978-3-540-32365-5

  • eBook Packages: EngineeringEngineering (R0)

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