A Novel MEREC and ALWAS Multi-Criteria Integration and its Application to the Evaluation of Wheeled Amphibious Armoured Vehicles

Authors

Keywords:

Wheeled amphibious vehicle, Vehicle selection, Multi-criteria decision-making, Defense industry, MEREC, ALWAS

Abstract

As modern warfare has become increasingly asymmetric, achieving significant operational capability in security, defense, offensive, and logistics has become a fundamental requirement for armed forces. Amphibious wheeled vehicles serve as a vital asset, enabling contemporary militaries to address diverse operational needs across land and water, as well as through varied terrain and climatic conditions. Selecting such a vehicle requires the simultaneous evaluation of numerous criteria including terrain adaptability and performance, amphibious capabilities, power transmission, maneuverability, communication systems, and armament. This article proposes a Multi-Criteria Decision-Making (MCDM) approach to objectively and systematically evaluate alternatives for amphibious wheeled vehicles. By normalizing the performance of various alternatives based on these selected criteria with MEREC method, this approach aims to assist armed forces in identifying the most suitable vehicle to meet their specific operational requirements with ALWAS method. This article aims to contribute to the selection of amphibious wheeled vehicles within the defense industry procurement process by introducing a decision-support framework characterized by multi-layered, traceable, and transparent principles.

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References

Vanzetta, M., Gomes, C. F. S., Santos, M., de Oliveira Alves, A., Kojima, E. H., da Silva, M. P. R. L., & Pires, T. (2024). Bibliometric study on multicriteria decision analysis (MCDA) applied to the selection of operational means in a military environment. Procedia Computer Science, 242, 821-828. https://doi.org/10.1016/j.procs.2024.08.205

Costa, I. P. D. A., Costa, A. P. D. A., Sanseverino, A. M., Gomes, C. F. S., & Santos, M. D. (2022). Bibliometric studies on multi-criteria decision analysis (MCDA) methods applied in military problems. Pesquisa Operacional, 42, e249414. https://doi.org/10.1590/0101-7438.2022.042.00249414

Cao, T., & Grieger, D. (2021, February). Stochastic multi-criteria decision analysis of combat simulation data for selecting the best land combat vehicle option. In Data and Decision Sciences in Action 2: Proceedings of the ASOR/DORS Conference 2018 (pp. 221-231). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-60135-5_16

Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Symmetry, 13(4), 525. https://doi.org/10.3390/sym13040525

Pamucar, D., Ecer, F., Gligorić, Z., Gligorić, M., & Deveci, M. (2023). A novel WENSLO and ALWAS multicriteria methodology and its application to green growth performance evaluation. IEEE Transactions on Engineering Management, 71, 9510-9525. https://doi.org/10.1109/TEM.2023.3321697

Jang, J. Y., Liu, T. L., Pan, K. C., & Chu, T. W. (2019). Numerical investigation on the hydrodynamic performance of amphibious wheeled armored vehicles. Journal of the Chinese Institute of Engineers, 42(8), 700-711. https://doi.org/10.1080/02533839.2019.1660225

Yıldızbası, A., & Özdemir, M. B. (2020). A decision-making model proposal (aav) for selection of amphibious attack vehicles for landing platform dock (lpd) by integrated MCDM methods. Konya Journal of Engineering Sciences, 8(2), 369-383. https://doi.org/10.36306/konjes.588831

Gávay, G., & Tóth, B. (2019). Cluster Analysis of Multicriteria-Classified Wheeled Armored Vehicles= Kerekes harcjárművektöbbszempontú értékelésének klaszteranalízise. Hadmérnök, 14(2), 21-33. https://doi.org/10.32567/hm.2019.2.2

Živković, M. D., Božanić, D. I., Suknović, M. M., & Delibašić, B. V. (2025). Application of the AHP and PROMETHEE II individual decision-making methods and the Condorcet group decision-making method in the selection of a multipurpose armored wheeled combat vehicle. Vojnotehnički glasnik, 73(1), 24-55. https://doi.org/10.5937/vojtehg73-54049

Çetinkaya, A. F., & Demirel, N. (2023). ASKERİ OPERASYONLARDA ARAÇ SEÇİMİ: KARAR VERME SÜRECİNDE KULLANILABİLECEK ANALİTİK YAKLAŞIMLAR. Uluslararası Türk Dünyası Araştırmaları Dergisi, 6(3), 35-74. https://doi.org/10.59182/tudad.1290824

Dos Santos, F. B., & Dos Santos, M. (2022). Choice of armored vehicles on wheels for the Brazilian Marine Corps using PrOPPAGA. Procedia Computer Science, 199, 301-308. https://doi.org/10.1016/j.procs.2022.01.037

Setiadji, A., Sukandari, B., Widjayanto, J., & Najib, R. (2020). Decision selection model of landing beach in amphibious operations excercise with Fuzzy MCDM. Journal Asro, 11(2), 22-34. https://jurnalmtasro.sttal.ac.id/index.php/ASRO/article/view/266/218 https://doi.org/10.37875/asro.v11i2.266

Güler, M. A. (2022). Evaluation of the Performance of Armored Military Vehicles by the Global Fuzzy MULTIMOORA Method. Journal of Optimization and Decision Making, 1(1), 28-41. https://izlik.org/JA74KY28BZ

Kurtay, K. G. (2024). Selection of military armored vehicle using fuzzy EDAS method. Computer and Decision Making: An International Journal, 1, 134-150. https://doi.org/10.59543/comdem.v1i.10413

Keleş, N. (2023). Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H. International Journal of Industrial Engineering and Operations Management, 5(3), 181-199. https://doi.org/10.1108/IJIEOM-12-2022-0068

de Azevedo Junior, C. M., Pires, T., Fróes, B. E., de Castro Corrêa, A., Gomes, C. F. S., & Dos Santos, M. (2024, November). A Python Streamlit APP For the Merec-Spotis MCDA Method: A Practical Use for Selecting Training Aircraft. In 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 212-218). IEEE. https://doi.org/10.1109/ICECA63461.2024.10801015

de Araújo Costa, A. P., de Pina Corriça, J. V., de Araújo Costa, I. P., Moreira, M. Â. L., dos Santos, M., & Gomes, C. F. S. (2022, October). Operational Analysis of Unmanned Aerial Vehicles in Modern Wars’ Context: A Hybrid Multicriteria Approach by MEREC–MAIRCA Methods. In International Conference on Information Technology and Applications (pp. 355-366). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-99-8324-7_30

Kara, K., Yalçın, G. C., Acar, A. Z., Simic, V., Konya, S., & Pamucar, D. (2024). The MEREC-AROMAN method for determining sustainable competitiveness levels: A case study for Turkey. Socio-economic planning sciences, 91, 101762. https://doi.org/10.1016/j.seps.2023.101762

Pelit, İ., & Avşar, İ. İ. (2025). Turkiye’s carbon emission profile: A global analysis with the MEREC-PROMETHEE hybrid method. Sustainability, 17(14), 6527. https://doi.org/10.3390/su17146527

Wang, J., Darwis, D., Gunawan, R. D., & Ariany, F. (2025). Optimizing e-commerce platform selection using root assessment method and merec weighting. J. Inform. dan Rekayasa Perangkat Lunak, 6(1), 1-12. https://doi.org/10.33365/jatika.v6i1.6

Gokasar, I., Pamucar, D., Deveci, M., Gupta, B. B., Martinez, L., & Castillo, O. (2023). Metaverse integration alternatives of connected autonomous vehicles with self-powered sensors using fuzzy decision making model. Information Sciences, 642, 119192. https://doi.org/10.1016/j.ins.2023.119192

Unal, Y. (2025). Ranking performance in statistics and operational research: A fuzzy MCDM and cluster-based QS 2024 framework. Social Sciences & Humanities Open, 12, 102023. https://doi.org/10.1016/j.ssaho.2025.102023

Deveci, M., Gokasar, I., Pamucar, D., Zaidan, A. A., Wei, W., & Pedrycz, W. (2024). Advantage prioritization of digital carbon footprint awareness in optimized urban mobility using fuzzy Aczel Alsina based decision making. Applied Soft Computing, 151, 111136. https://doi.org/10.1016/j.asoc.2023.111136

Çodur, S., Erkayman, B., Alp, S. S., Özenir, O., Yıldız, G., Gemalmaz, A., ... & Pamucar, D. (2026). Integrating WENSLO, Rough OPA, and ALWAS Methods for Strategic 5G Deployment: A Case Study from Turkey. International Journal of Information Technology & Decision Making, 25(06), 2097-2135. https://doi.org/10.1142/S021962202550110X

Mizrak, F., Elbir, U., & Durmaz, B. V. (2026). A Z-Number Fuzzy WENSLO–ALWAS Model for Evaluating Sustainable Airport Mobility and Climate-Transition Performance Using Secondary Data. Sustainability, 18(15), 7884. https://doi.org/10.3390/su18157884

U.S. Army, Worldwide Equipment Guide (WEG), OE Data Integration Network (ODIN), https://odin.t2com.army.mil/WEG.

Published

2026-10-27

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Articles

How to Cite

Topal, A. B., & Dağıstanlı, H. A. (2026). A Novel MEREC and ALWAS Multi-Criteria Integration and its Application to the Evaluation of Wheeled Amphibious Armoured Vehicles. Journal of Information-Based Decision Making, 2(1), 1-14. https://www.jibdm.journal-publishing.org/index.php/jibdm/article/view/40