Skip to main content

On Algebraic Operations on Fuzzy Numbers

  • Conference paper

Part of the Advances in Soft Computing book series (AINSC,volume 22)

Abstract

New definition of the fuzzy counterpart of real number is presented. An extra feature, called the orientation of the membership curve is introduced. It leads to a novel concept of an ordered fuzzy number, represented by the ordered pair of real continuous functions. Four algebraic operations on ordered fuzzy numbers are defined; they enable to avoid some drawbacks of the classical approach.

  • fuzzy numbers
  • quasi-convexity
  • orientation
  • algebraic operations

This is a preview of subscription content, access via your institution.

Buying options

Chapter
GBP   19.95
Price includes VAT (United Kingdom)
  • DOI: 10.1007/978-3-540-36562-4_37
  • Chapter length: 10 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
GBP   143.50
Price includes VAT (United Kingdom)
  • ISBN: 978-3-540-36562-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
GBP   179.99
Price includes VAT (United Kingdom)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. E. Czogala, W. Pedrycz, Elements and methods of fuzzy set theory (in Polish), PWN, Warszawa, Poland (1985).

    MATH  Google Scholar 

  2. J. Drewniak, Fuzzy numbers (in Polish), in: Fuzzy sets and their applications, J. Chojcan, J. Łęski (eds), WPŚ Gliwice, Poland (2001) 103–129.

    Google Scholar 

  3. D. Dubois, H. Prade, Operations on fuzzy numbers, Int. J. System Science, 9 (1978) 576–578.

    MathSciNet  Google Scholar 

  4. J. Kacprzyk, Fuzzy Sets in System Analysis (in Polish) PWN, Warszawa, Poland (1986).

    Google Scholar 

  5. G.J. Klir, Fuzzy arithmetic with requisite constraints, Fuzzy Sets and Systems, 91 (1997) 165–175.

    MathSciNet  MATH  CrossRef  Google Scholar 

  6. W. Kosiński, On algebraic operations on fuzzy numbers, Invited lecture at IC-NNSC’2002, June 11–15, Zakopane, Poland (2002).

    Google Scholar 

  7. W. Kosiński, K. Piechór, P. Prokopowicz, K. Tyburek, On algorithmic approach to operations on fuzzy numbers, in: Methods of Artificial Intelligence in Mechanics and Mechanical Engineering, T. Burczyński, W. Cholewa (eds), PACM, Gliwice, Poland (2001) 95–98.

    Google Scholar 

  8. W. Kosiriski, P. Prokopowicz, D. Ślęzak, Fuzzy numbers with algebraic operations: algorithmic approach, in: Advances in Soft Computing, Proc. of IIS’2002 Sopot, Poland, June 3–6, 2002, M. Kopotek, S.T. Wierzcho, M. Michalewicz (eds.) , Physica Verlag, 2002, pp. 311–320.

    Google Scholar 

  9. W. Kosiński, P. Prokopowicz, D. Ślęzak, On algebraic operations on fuzzy numbers0, in: Advances in Soft Computing, Proc. of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11–15, 2002, L. Rutkowski, J. Kacprzyk (eds.), Physica-Verlag, 2003, in print.

    Google Scholar 

  10. W. Kosiński, P. Prokopowicz, D. Ślęzak, Ordered fuzzy numbers, submitted for publication in Bulletin of the Polish Academy of Sciences, Ser. Sci. Math., (2002).

    Google Scholar 

  11. W. Kosiński, P. Slysz, Fuzzy numbers and their quotient space with algebraic operations, Bull. Polish Acad. Scien., 41/3 (1993) 285–295.

    MATH  Google Scholar 

  12. B. Martos, Nonlinear Programming — Theory and methods, PWN, Warszawa, Poland (1983) (Polish translation of the English original published by Akadémiai Kiadó, Budapest, 1975).

    MATH  Google Scholar 

  13. E. Sanchez, Solutions of fuzzy equations with extended operations, Fuzzy Sets and Systems, 12 (1984) 237–248.

    MathSciNet  MATH  CrossRef  Google Scholar 

  14. M. Wagenknecht, On the approximate treatment of fuzzy arithmetics by inclusion, linear regression and information content estimation, in: Fuzzy sets and their applications, J. Chojcan, J. Ślęzak (eds), WPŚ Gliwice, Poland (2001) 291–310.

    Google Scholar 

  15. M. Wagenknecht, R. Hampel, V. Schneider, Computational aspects of fuzzy arithmetic based on Archimedean t-norms, Fuzzy sets and Systems, 123/1 (2001) 49–62.

    MathSciNet  MATH  CrossRef  Google Scholar 

  16. L.A. Zadeh, Fuzzy sets, Information and Control, 8 (1965) 338–353.

    MathSciNet  MATH  CrossRef  Google Scholar 

  17. L.A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning, Part I, Information Sciences, 8 (1975) 199–249.

    MathSciNet  MATH  CrossRef  Google Scholar 

  18. L.A. Zadeh, The role of fuzzy logic in the management of uncertainty in expert systems, Fuzzy Sets and Systems, 11 (1983) 199–227.

    MathSciNet  MATH  CrossRef  Google Scholar 

Download references

Author information

Affiliations

Authors

Rights and permissions

Reprints and Permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kosiński, W., Prokopowicz, P., Ślęzak, D. (2003). On Algebraic Operations on Fuzzy Numbers. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36562-4_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-36562-4_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00843-9

  • Online ISBN: 978-3-540-36562-4

  • eBook Packages: Springer Book Archive