Skip to main content

Calculations of Zadeh’s Extension of Piecewise Linear Functions

  • Conference paper
  • First Online:
Fuzzy Techniques: Theory and Applications (IFSA/NAFIPS 2019 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1000))

Included in the following conference series:

Abstract

Zadeh’s extension principle is one of the most classical techniques in fuzzy set theory. It is a tool which, for example, can naturally extend a real-valued continuous map to a map having fuzzy sets as its arguments. Theoretically, it is a nice mathematical tool used in many theories, e.g. in studies on fuzzy dynamical systems. However, concrete calculations or even approximations can be very difficult in general and, consequently, many approaches trying to solve this problem appeared. In this work we present a novel algorithm which can compute Zadeh’s extension of given continuous piecewise linear functions. Among other things, an advantage of this approach is that, unlike almost all former approaches, it can deal with discontinuities which naturally appear in simulations of fuzzy dynamical systems.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ahmad, M.Z., Hasan, M.K.: A new approach for computing Zadeh’s extension principle. Matematika 26, 71–81 (2010)

    MathSciNet  Google Scholar 

  2. Block, L.S., Coppel, W.A.: Dynamics in One Dimension. Springer, Heidelberg (2006)

    Google Scholar 

  3. Brent, R.P.: Algorithms for Minimization Without Derivatives. Courier Corporation, North Chelmsford (2013)

    Google Scholar 

  4. Cánovas, J.S., Kupka, J.: On the topological entropy on the space of fuzzy numbers. Fuzzy Sets Syst. 257, 132–145 (2014)

    Article  MathSciNet  Google Scholar 

  5. Cecconello, M., Bassanezi, R.C., Brandão, A.J., Leite, J.: On the stability of fuzzy dynamical systems. Fuzzy Sets Syst. 248, 106–121 (2014)

    Article  MathSciNet  Google Scholar 

  6. Chalco-Cano, Y., Jiménez-Gamero, M., Román-Flores, H., Rojas-Medar, M.A.: An approximation to the extension principle using decomposition of fuzzy intervals. Fuzzy Sets Syst. 159(24), 3245–3258 (2008)

    Article  MathSciNet  Google Scholar 

  7. Chalco-Cano, Y., Misukoshi, M.T., Román-Flores, H., Flores-Franulic, A.: Spline approximation for Zadeh’s extensions. Int. J. Uncertainty Fuzziness Knowl.-Based Syst. 17(02), 269–280 (2009)

    Article  MathSciNet  Google Scholar 

  8. Chalco-Cano, Y., Román-Flores, H., Rojas-Medar, M., Saavedra, O., Jiménez-Gamero, M.D.: The extension principle and a decomposition of fuzzy sets. Inf. Sci. 177(23), 5394–5403 (2007)

    Article  MathSciNet  Google Scholar 

  9. Corveleyn, S., Vandewalle, S.: Computation of the output of a function with fuzzy inputs based on a low-rank tensor approximation. Fuzzy Sets Syst. 310, 74–89 (2017)

    Article  MathSciNet  Google Scholar 

  10. Diamond, P., Kloeden, P.E.: Metric Spaces of Fuzzy Sets: Theory and Applications. World Scientific, Singapore (1994)

    Google Scholar 

  11. Dong, W.M., Wong, F.S.: Fuzzy weighted averages and implementation of the extension principle. Fuzzy Sets Syst. 21(2), 183–199 (1987)

    Article  MathSciNet  Google Scholar 

  12. Guerra, M.L., Stefanini, L.: Approximate fuzzy arithmetic operations using monotonic interpolations. Fuzzy Sets Syst. 150(1), 5–33 (2005)

    Article  MathSciNet  Google Scholar 

  13. Hanss, M.: The transformation method for the simulation and analysis of systems with uncertain parameters. Fuzzy Sets Syst. 130(3), 277–289 (2002)

    Article  MathSciNet  Google Scholar 

  14. Kloeden, P.: Fuzzy dynamical systems. Fuzzy Sets Syst. 7(3), 275–296 (1982)

    Article  MathSciNet  Google Scholar 

  15. Kloeden, P.: Chaotic iterations of fuzzy sets. Fuzzy Sets Syst. 42(1), 37–42 (1991)

    Article  MathSciNet  Google Scholar 

  16. Kupka, J.: On fuzzifications of discrete dynamical systems. Inf. Sci. 181(13), 2858–2872 (2011)

    Article  MathSciNet  Google Scholar 

  17. Kupka, J.: A note on the extension principle for fuzzy sets. Fuzzy Sets Syst. 283, 26–39 (2016)

    Article  Google Scholar 

  18. Lynch, S.: Dynamical Systems with Applications Using MATLAB. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  19. Sharkovsky, A., Kolyada, S., Sivak, A., Fedorenko, V.: Dynamics of One-Dimensional Maps, vol. 407. Springer, Heidelberg (2013)

    Google Scholar 

  20. Stefanini, L., Sorini, L., Guerra, M.L.: Simulation of fuzzy dynamical systems using the LU-representation of fuzzy numbers. Chaos, Solitons Fractals 29(3), 638–652 (2006)

    Article  MathSciNet  Google Scholar 

  21. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  Google Scholar 

Download references

Acknowledgements

The second author acknowledges funding from the project “Support of talented PhD students at the University of Ostrava” from the programme RRC/10/2018 “Support for Science and Research in the Moravian-Silesian Region 2018”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicole Škorupová .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kupka, J., Škorupová, N. (2019). Calculations of Zadeh’s Extension of Piecewise Linear Functions. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_54

Download citation

Publish with us

Policies and ethics