Skip to main content
SpringerLink
Log in

A Hybrid Method with Fuzzy VIKOR and Z-Numbers for Decision Making Problems

  • Conference paper
  • First Online:
Recent Advances in Soft Computing and Data Mining (SCDM 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 457))

Included in the following conference series:

Abstract

Decisions are the process of deciding several tasks, potentials, and chances. Decisions are changeable, hesitate, inexact, uncertain, and sometimes challenging to decide. Z-numbers provide extra space for uncertainties compared to fuzzy sets. The nature in Z-numbers gives us an additional level of openness to signify the hesitation and of the actual cases. Through this study, we hybrid the concept of Z-numbers and Fuzzy VIsekriterijumska Optimizacija I Kompromisno Resenje (Fuzzy VIKOR) to accommodate uncertainty issues in making decisions. We illustrate a real numerical example of selecting a suitable supplier/vendor for outsourcing pharmaceutical companies to check the proposed method’s robustness. The result recommends that A1 would be the most suitable supplier. The outcomes show that the hybrid method offers a practical way to handle decisions more flexibly and intelligently.

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 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
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. Naim, S., Hagras, H.: A type 2-hesitation fuzzy logic based multi criteria group decision making system for intelligent shared environments. J. Soft Comput. 18, 1305–1319 (2013)

    Google Scholar 

  2. Forman, E.: Conflict in decision making (2014). https://www.expertchoice.com/2020

  3. Lopez, L.: Conflict resolution and group decision making: exploring the dynamics of conflict resolution at the group level (2014). http://www.systemdynamics.org/conferences/2004/DS_2004/PAPERS/361LOPEZ.pdf

  4. Liang, D., Zhang, Y., Xu, Z., Jamaldeen, A.: Pythagorean fuzzy VIKOR approaches based on TODIM for evaluating internet banking website quality of Ghanaian banking industry. Appl. Soft Comput. J. 78, 583–594 (2019)

    Google Scholar 

  5. Aslani, B., Rabiee, M., Tavana, M.: An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection. Int. J. Syst. Sci. 8(4), 348–370 (2021)

    Google Scholar 

  6. Zadeh, L.A.: Fuzzy sets. Inf. Control (1965)

    Google Scholar 

  7. Gao, H., Ran, L., Wei, G., Wu, J.: VIKOR method for MAGDM based on Q-rung interval-valued orthopair fuzzy information and its application to supplier selection of medical consumption products. Int. J. Environ. Res. Public Health 17(525), 1–14 (2020)

    Google Scholar 

  8. Siahkali Moradi, J., Ghorbanzad, Y., Beig, M.: Identifying and prioritizing innovation criteria of projects in science and technology parks using fuzzy VIKOR. Manag. Sci. Lett. 2(2), 587–596 (2012)

    Google Scholar 

  9. Aliev, R.A., Zeinalova, L.M.: Decision making under Z-information. Hum. Centric Decis. Mak. Models 502, 233–252 (2013)

    Google Scholar 

  10. Zadeh, L.A.: A note on Z-numbers. Inf. Sci. 181, 2923–2932 (2011)

    Google Scholar 

  11. Kang, B., Wei, D., Li, Y., Deng, Y.: Decision making using Z-numbers under uncertain environment. J. Comput. Inf. Syst. 8(7), 2807–2814 (2012)

    Google Scholar 

  12. Zeinalova, L.M.: Chouquet aggregation based decision making under Z-information. ICTAT J. Soft Comput. Spec. Issue Soft Comput. Syst. Anal. Decis. Control, 4, 819–824 (2014)

    Google Scholar 

  13. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. Part II. Inf. Sci. 8, 301–357 (1975)

    Google Scholar 

  14. Forghani, A., Sadjadi, S.J., Farhang Moghadam, B.: A supplier selection model in a pharmaceutical supply chain using PCA, Z-TOPSIS and MILP: a case study. PLoS ONE 13(8), e0201604 (2018)

    Google Scholar 

Download references

Acknowledgments

This research is supported by the Fundamental Grant Scheme for Research Acculturation of Early Career Researchers (FRGS-RACER) RACER/1/2019/STG06/UNISZA//1, Ministry of Higher Education. This support is gratefully acknowledged.

Author information

Authors and Affiliations

  1. Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200, Besut, Terengganu, Malaysia

    Wan Nur Amira Wan Azman, Nurnadiah Zamri & Siti Sabariah Abas

Authors
  1. Wan Nur Amira Wan Azman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nurnadiah Zamri
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Siti Sabariah Abas
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wan Nur Amira Wan Azman .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Rozaida Ghazali

  2. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Nazri Mohd Nawi

  3. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Mustafa Mat Deris

  4. School of Information Technology Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  5. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Nureize Arbaiy

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Azman, W.N.A.W., Zamri, N., Abas, S.S. (2022). A Hybrid Method with Fuzzy VIKOR and Z-Numbers for Decision Making Problems. In: Ghazali, R., Mohd Nawi, N., Deris, M.M., Abawajy, J.H., Arbaiy, N. (eds) Recent Advances in Soft Computing and Data Mining. SCDM 2022. Lecture Notes in Networks and Systems, vol 457. Springer, Cham. https://doi.org/10.1007/978-3-031-00828-3_4

Download citation

Publish with us

Policies and ethics

Search

Navigation