Skip to main content

Neutrosophic Assignment Problem via BnB Algorithm

  • Conference paper
  • First Online:
Book cover Advances in Algebra and Analysis

Part of the book series: Trends in Mathematics ((TM))

Abstract

This paper attempts to commence branch and bound technique to unravel the triangular fuzzy neutrosophic assignment problem (TFNAP). So far there are many researches based on fuzzy and intuitionistic fuzzy assignment problems; this is the first paper to deal with TFNAP which have been introduced as a simplification of crisp sets and intuitionistic fuzzy sets to indicate vague, imperfect, unsure, and incoherent notification about the existent world problem. Here a real-life agricultural problem where the farmer’s objective is to locate the optimal assignment of paddocks to crops in such comportment that the total fertilizer cost becomes least is worked out to illustrate the efficiency of the branch and bound (BnB) algorithm in neutroshopic approach.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
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. Abbasbandy,S.,Hajjari,T.: A new approach for ranking of trapezoidal fuzzy numbers. Computers and Mathematics with Applications. 57,413–419(2009)

    Article  MathSciNet  Google Scholar 

  2. Akansha Singh,Amit Kumar, Apppadoo,S.S.: Modified approach for optimization of real life transportation problem in neutrosophic environment.Mathematical Problems in Engineering.(2017) Article id: 2139791

    Google Scholar 

  3. Anil Gotmare,D., Khot, P.G.: Solution of fuzzy assignment problem by using branch and bound technique with application of lingustic variable.International Journals of Computer and Technology.15(4) (2016)

    Article  Google Scholar 

  4. Biswas,P. Pramanik,S. Giri,B.C.: Aggregation of triangular fuzzy neutrosophic set information and its application to multi attribute decision making.Neutrosophic Sets and Systems.12,20–40(2016)

    Google Scholar 

  5. Chen Liang-Hsuan, Lu Hai-Wen.: An extended assignment problem considering multiple and outputs.Applied Mathematical Modelling.31,2239–2248(2007)

    Article  Google Scholar 

  6. Chen, M.S.: On a fuzzy assignment problem.Tamkang Journal.22,407–411(1985)

    Google Scholar 

  7. Florentin Smarandache.: Neutrosophic ,neutrosophic probability set and logic.Amer.Res Press .Rehoboth.USA.105p,(1998)

    Google Scholar 

  8. Hadi Basirzadeh.: Ones assignment method for solving assignment problems.Applied Mathematical Sciences.6(47), 2345–2355(2012)

    Google Scholar 

  9. Lone,M.A.,Mir,S.A.,Ismail,Y., Majid,R.: Intustinistic fuzy assignment problem, an application in agriculture .Asian Journal of Agricultural Extension,Economics and Socialogy.15(4), 1–6(2017)

    Google Scholar 

  10. Long-Sheng Huang., Li-pu Zhang.: Solution method for fuzzy assignment problem with restriction of qualification.Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications. ISDA’06 (2006)

    Google Scholar 

  11. Muruganandam,S.,Hema,K.: Solving fully fuzzy assignment problem using branch and bound technique.Global Journal of Pure and Applied Mathematics.13(9), 4515–4522(2017)

    Google Scholar 

  12. Nagarajan,R.Solairaju,A.:Assignment problems with fuzzy costs under robust ranking techniques.International Journal of Computer Applications.6,(2010)

    Article  Google Scholar 

  13. Said Broumi, Assia Bakali, Mohemed Talea, Florentien Sarandache .: Shortest path problem under triangular fuzzy neutrosophic information. 10th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). https://doi.org/978-1-5090-3298-3/16Ⓒ2016 IEEE(2016)

  14. Srinivas,B. Ganesan,G.: Method for solving branch-and-bound technique for assignment problems using triangular and trapezoidal fuzzy numbers.International Journal In Management And Social Science.3(3),(2015)

    Google Scholar 

  15. Thamaraiselvi,A. Shanthi ,R.: A new approach for optimization of real life transportation problem in neutrosophic environment.Mathematical Problems in Engineering.(2016) doi: 5950747.

    Google Scholar 

  16. Yager,R,R.: A procedure for ordering fuzzy subsets of the unit interval.Information Sciences.vol. 24(2), 143–161 (1981)

    Article  MathSciNet  Google Scholar 

  17. Ye,J.: Trapezoidal fuzzy neutrosophic set and its application to multiple attribute decision making.Soft Computing.(2015) https://doi.org/10.1007/s00500-015-1818-y

    Article  Google Scholar 

  18. Zadeh, L.: Fuzzy sets, Information and Control.8(3),338–353 (1965)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Krishna Prabha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Prabha, S.K., Vimala, S. (2018). Neutrosophic Assignment Problem via BnB Algorithm. In: Madhu, V., Manimaran, A., Easwaramoorthy, D., Kalpanapriya, D., Mubashir Unnissa, M. (eds) Advances in Algebra and Analysis. Trends in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-01120-8_37

Download citation

Publish with us

Policies and ethics