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

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Recent Advances in Soft Computing and Data Mining (SCDM 2022)

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

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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.

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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.

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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
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  2. Nurnadiah Zamri
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  3. Siti Sabariah Abas
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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

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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

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