Systematic Review of Multi-Criteria Decision-Making Frameworks

Authors

  • Abdullahi Mohammed Auna Department of Computer Science, Federal University of Technology, Minna, Nigeria
  • Dr. Solomon Adelowo Adepoju Computer Science Department, Federal University of Technology Minna, Niger State, Nigeria
  • Dr. Kehinde Hussein Lawal Department of software Engineering, Federal University of Technology Minna, Niger State, Nigeria

DOI:

https://doi.org/10.59461/ijitra.v5i3.241

Keywords:

Multi-Criteria Decision-Making (MCDM) Systematic Review PRISMA AHP and TOPSIS Hybrid MCDM Frameworks

Abstract

Multi-criteria decision-making (MCDM) frameworks emerged as essential methods for resolving challenging decision making with wide domain fields such as energy, sustainability, healthcare, transportation, and supply chain management. This systematic review, carried out according to PRISMA principles, explore 92 peer-reviewed articles reported in the period of 2021 and 2026 to implementation of mixed MCDM Frameworks with AHP and TOPSIS continue to be the primarily broadly used individual methods, namely as MEREC, CRITIC, FUCOM, LBWA, and IDOCRIW, have also emerged. Applications increasingly cover healthcare, clean energy, vendor selection, and sustainability.

Subsequent research should prioritize standardized method-selection guidelines, enhance assessment, adaptive decision-making, group decision making, and integration with machine learning

Author Biographies

  • Dr. Solomon Adelowo Adepoju, Computer Science Department, Federal University of Technology Minna, Niger State, Nigeria

    Dr. Solomon Adelowo Adepoju holds a Ph.D. in Computer Science from Federal University of Technology Minna. He is a dedicated academic, researcher, and educator with nearly two decades of experience in Computer Science. He currently serves as an Associate Professor, in the Department of Computer Science at the Federal University of Technology, Minna (FUT Minna), Nigeria. His teaching and research interests lie primarily in Human-Computer Interaction (HCI), Usability Evaluation, Web Mining, and Multi-Criteria Decision Making (MCDM) systems

  • Dr. Kehinde Hussein Lawal , Department of software Engineering, Federal University of Technology Minna, Niger State, Nigeria

    Dr. Kehinde Hussein Lawal is a Software Engineering scholar and practitioner with over two decades of experience in software development, deployment, teaching, and academic administration. He holds a doctorate in Software Engineering from ICT University, Cameroon, and has developed educational software used by universities and polytechnics across Nigeria. His research and teaching interests include Artificial Intelligence, Machine Learning, software processes, and software development. He has supervised undergraduate and postgraduate projects and contributed to FUTMINNA CoDEL programmes. He also holds professional certifications in Ethical Hacking, MySQL, Python, and PHP, and is a member of the(CSN) and (CPN).

     

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Published

2026-10-02

Issue

Vol. 5 No. 3 (2026): IJITRA

Section

Regular Issue

License

Copyright (c) 2026 Abdullahi Mohammed Auna; Dr. Solomon Adelowo Adepoju, Dr. Kehinde Hussein Lawal

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

Systematic Review of Multi-Criteria Decision-Making Frameworks. (2026). International Journal of Information Technology, Research and Applications, 5(3), 37-52. https://doi.org/10.59461/ijitra.v5i3.241