Skip to main content
SpringerLink
Log in

Application of Interval Approximation Method of a Fuzzy Number to the Supplier Selection

  • Conference paper
  • First Online:
13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 (ICAFS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 896))

Abstract

In this paper the idea of an approximation interval method of a fuzzy number is used for supplier selection. This is the interval that fulfils two stipulations. at the beginning, its distance is the same as the distance of a fuzzy number existing approximated. Next, the Hamming approximation among this distance and the approximated data is minimum. We obtain formula of defining the approximation distance for a fuzzy data presented in a basic kind as well as for a fuzzy number of L-R type. In practice, fuzzy intervals are frequently used to represent uncertain or imperfect information.

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

Access this chapter

Log in via an institution
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. Buckley, J.J.: Ranking alternatives using fuzzy numbers. Fuzzy Sets Syst. 15, 21–31 (1985)

    Article  MathSciNet  Google Scholar 

  2. Buckley, J.J., Chanas, S.: A fast method of ranking alternatives using fuzzy numbers. Fuzzy Sets Syst. 30(1989), 337–338 (1989)

    Article  MathSciNet  Google Scholar 

  3. Dubois, D., Prade, H.: Operations on fuzzy numbers. Int. J. Syst. Sci. 9(6), 613–626 (1978)

    Article  MathSciNet  Google Scholar 

  4. Dubois, D., Prade, H.: Fuzzy Sets Syst. 24, 279–300 (1987)

    Article  Google Scholar 

  5. Heilpern, S.: The expected value of a fuzzy number. Fuzzy Sets Syst. 47(1), 81–86 (1992)

    Article  MathSciNet  Google Scholar 

  6. Jimenez, M.: Ranking fuzzy intervals through the comparison of its expected intervals. Int. J. Uncertainty Fuzziness Knowl.-Based Syst. 4, 379–388 (1996)

    Article  Google Scholar 

  7. Liou, T.S., Wang, M.J.: Ranking fuzzy numbers with integral value. Fuzzy Sets Syst. 50, 247–255 (1992)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Instrument Making Engineering, Azerbaijan State Oil and Industry University, 20 Azadlig Avenue, AZ1010, Baku, Azerbaijan

    Kamala Aliyeva

Authors
  1. Kamala Aliyeva
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kamala Aliyeva .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo. Jamshidi

  5. Department of Mechatronics, Near East University, Nicosia TRNC, Turkey

    Fahreddin M. Sadikoglu

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

Aliyeva, K. (2019). Application of Interval Approximation Method of a Fuzzy Number to the Supplier Selection. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F. (eds) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. ICAFS 2018. Advances in Intelligent Systems and Computing, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-030-04164-9_63

Download citation

Publish with us

Policies and ethics

Search

Navigation