Received: 18 March 2020 | Revised: 6 October 2020 | Accepted: 19 October 2020 DOI: 10.1002/int.22322 RESEARCH ARTICLE Multidimensional benchmarking of the active queue management methods of network congestion control based on extension of fuzzy decision by opinion score method Osamah Shihab Albahri 1 | Aws Alaa Zaidan 1 | Mahmood M. Salih 2 | Bilal Bahaa Zaidan 1 | Maimuna A. Khatari 1 | Mohamed A. Ahmed 2 | Ahmed Shihab Albahri 3 | Mamoun Alazab 4 1 Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia 2 Department of Computer Science, Computer Science and Mathematics College, Tikrit University, Tikrit 34001, Iraq 3 Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Tikrit University, Baghdad, Iraq 4 College of Engineering, IT and Environment, Charles Darwin University, NT 0909, Australia Correspondence A. A. Zaidan, Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, 35900, Malaysia. Email: aws.alaa@fskik.upsi.edu.my Abstract This study evaluated the benchmarking process of active queue management (AQM) methods, which consider a multicriteria decision‐making (MCDM) problem using multidimensional criteria. Academic studies have benchmarked the AQM methods using MCDM techni- ques. However, these studies have used existing MCDM techniques, which face considerable theoretical chal- lenges. The latest MCDM method called fuzzy decision by opinion score (FDOSM) was published in the Journal of Applied Soft Computing in 2020 to address the theo- retical challenges of the existing MCDM methods. However, FDOSM continues to encounter serious is- sues. That is, it exclusively depends on the direct ag- gregation MCDM approach based on arithmetic mean (AM) operator. However, performing other operators (i.e., geometric mean, harmonic mean, and root mean square), in addition to applying other MCDM ap- proaches (i.e., distance measurement and compromise rank), may result in different ranking results. Hence, this study mainly proposes an extension of FDOSM through the following aspects: (1) application of Int J Intell Syst. 2020;1–36. wileyonlinelibrary.com/journal/int © 2020 Wiley Periodicals LLC | 1