Skip to main content

Implications on Ordered Fuzzy Numbers and Fuzzy Sets of Type Two

  • Conference paper
Artificial Intelligence and Soft Computing (ICAISC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7267))

Included in the following conference series:

Abstract

Ordered fuzzy numbers (OFN) as generalization of convex fuzzy numbers represented in parametric form and invented by the second and the third authors and their coworker in 2002, make possible to utilize the fuzzy arithmetic and to construct the lattice structure on them. Fuzzy inference mechanism and implications are proposed together with step fuzzy numbers that may be used for approximations as well as for constructing new fuzzy sets of type two.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. BaczyƄski, M., Jayaram, B.: Fuzzy Implications. Studies in Fuzziness and Soft Computing, vol. 231. Springer, Berlin (2008) ISBN: 978-3-540-69080-1

    MATH  Google Scholar 

  2. Buckley James, J.: Solving fuzzy equations in economics and finance. Fuzzy Sets and Systems 48, 289–296 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  3. Goetschel Jr., R., Voxman, W.: Elementary fuzzy calculus. Fuzzy Sets and Systems 18(1), 31–43 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  4. GruszczyƄska, A., Krajewska, I.: Fuzzy calculator on step ordered fuzzy numbers, UKW, Bydgoszcz (2008) (in Polish)

    Google Scholar 

  5. Karnik, N.N., Mendel, J.M.: An Introduction to Type-2 Fuzzy Logic Systems. Univ. of Southern Calif., Los Angeles (1998)

    Google Scholar 

  6. KosiƄski, W.: On Defuzzyfication of Ordered Fuzzy Numbers. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 326–331. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. KosiƄski, W.: On fuzzy number calculus. Int. J. Appl. Math. Comput. Sci. 16(1), 51–57 (2006)

    MathSciNet  Google Scholar 

  8. KosiƄski, W., Prokopowicz, P., ƚlęzak, D.: Fuzzy numbers with algebraic operations: algorithmic approach. In: Klopotek, M., WierzchoƄ, S.T., Michalewicz, M. (eds.) Proc. Intelligent Information Systems, IIS 2002, Poland, June 3-6, pp. 311–320. Physica Verlag, Heidelberg (2002)

    Google Scholar 

  9. KoƛcieƄski, K.: Module of step fuzzy numbers in motion control. PJIIT, Warsaw (2010) (in Polish)

    Google Scholar 

  10. Larsen, P.M.: Industrial applications of fuzzy logic controler. Intern. J. Man-Machine Studies 12(1), 3–10 (1980)

    Article  Google Scholar 

  11. Liang, Q., Mendel, J.: Interval type-2 fuzzy logic systems: Theory and design. IEEE Transactions Fuzzy Systems 8, 535–550 (2000)

    Article  Google Scholar 

  12. Ɓukasiewicz, J.: Elements of the Mathematical Logic. PWN, Warszawa (1958) (in Polish)

    Google Scholar 

  13. Mamdani, E.H.: Advances in the linguistic synthesis of fuzzy controllers. Intern. J. Man-Machine Studies 8, 669–678 (1976)

    Article  MATH  Google Scholar 

  14. Mendel, J.: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice-Hall, NJ (2001)

    MATH  Google Scholar 

  15. Nguyen, H.T.: A note on the extension principle for fuzzy sets. J. Math. Anal. Appl. 64, 369–380 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  16. Prokopowicz, P.: Algorithmization of Operations on Fuzzy Numbers and its Applications, Ph. D. Thesis, IPPT PAN (2005)

    Google Scholar 

  17. KosiƄski, W., Węgrzyn-Wolska, K., Borzymek, P.: Evolutionary algorithm in fuzzy data problem. In: Kita, E. (ed.) Evolutionary Algorithms, pp. 201–218. InTech (April 2011) ISBN 978-953-307-171-8

    Google Scholar 

  18. Zadeh, L.A.: Fuzzy Logic. Computer 1(4), 83–93 (1988)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kacprzak, M., KosiƄski, W., Prokopowicz, P. (2012). Implications on Ordered Fuzzy Numbers and Fuzzy Sets of Type Two. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7267. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29347-4_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29347-4_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29346-7

  • Online ISBN: 978-3-642-29347-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics