Skip to main content

Conceptualization of Finite Capacity Single-Server Queuing Model with Triangular, Trapezoidal and Hexagonal Fuzzy Numbers Using α-Cuts

  • Conference paper
  • First Online:
Numerical Optimization in Engineering and Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 979))

Abstract

We present a limited extent single-server lining model with triangular, trapezoidal and hexagonal fuzzy numbers separately. The entry rate and overhauled rate are fuzzy in description, and the arithmetic of interval numbers is enforced. The execution proportions are fuzzified and after that assessed by utilizing α-cut and DSW (Dong, Shah and Wong) calculation. Relating to each sort of fuzzy number, the numerical precedent is encapsulated to check the achievability of this miniature. A comparative investigation relative to individual fuzzy numbers is accomplished for various estimations of α.

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
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Li, R.J., Lee, E.S: Analysis of fuzzy queues. Comput. Math. Appl. 17(7), 1143–1147 (1989)

    Google Scholar 

  2. Buckley, J.J.: Elementary queuing theory based on possibility theory. Fuzzy Sets Syst. 37, 43–52 (1990)

    Google Scholar 

  3. Negi, D.S., Lee, E.S.: Analysis and simulation of fuzzy queue. Fuzzy Sets Syst. 46, 321–330 (1992)

    Article  Google Scholar 

  4. Chen, S.P.: Parametric nonlinear programming approach to fuzzy queues with bulk, service. Eur. J. Oper. Res. 163, 434–444 (2005)

    Google Scholar 

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

    Article  Google Scholar 

  6. Gupta, P., Hira, D.S.: Operations Research, 884–885 (2007)

    Google Scholar 

  7. Rose, T.: Fuzzy Logic and Its Applications to Engineering. Wiley Eastern Publishers (2005)

    Google Scholar 

  8. Voskoglou, M.G., Subbotin, I.Y.: An application of the triangular fuzzy model to assessment of analogical reasoning skills. Am. J. Appl. Math. Stat., 3–1, 1–6 (2015)

    Google Scholar 

  9. Subbotin, I.Y.: Trapezoidal Fuzzy Logic Model for Learning Assessment. arXiv:1407.0823[math.gm] (2014)

  10. Zimmermann, H.J: Fuzzy programming and linear programming with several objective functions. Fuzzy Sets Syst. I, 45–55 (1978)

    Google Scholar 

  11. Yovgav, R.R.: A characterization of the extension principle. Fuzzy Sets Syst. 18, 71–78 (1986)

    MathSciNet  Google Scholar 

  12. Moore, R., Lodwick, W.: Interval analysis and fuzzy set theory. Fuzzy Sets Syst. 135(1), 5–9 (2003)

    Article  MathSciNet  Google Scholar 

  13. Prameela, K.U., Kumar, P.: Execution proportions of multi server queuing model with pentagonal fuzzy number: DSW algorithm approach. Int J Innov. Technol. Explor. Eng. 8(7), 1047–1051 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Usha Prameela .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Prameela, K.U., Kumar, P. (2020). Conceptualization of Finite Capacity Single-Server Queuing Model with Triangular, Trapezoidal and Hexagonal Fuzzy Numbers Using α-Cuts. In: Dutta, D., Mahanty, B. (eds) Numerical Optimization in Engineering and Sciences. Advances in Intelligent Systems and Computing, vol 979. Springer, Singapore. https://doi.org/10.1007/978-981-15-3215-3_19

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-3215-3_19

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3214-6

  • Online ISBN: 978-981-15-3215-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics