Journal of Optimization and Decision Making

2822-6410

Ankara Yildirim Beyazit University

Industrial Engineering

Endüstri Mühendisliği

Evaluation of the Performance of Armored Military Vehicles by the Global Fuzzy MULTIMOORA Method

https://orcid.org/0000-0001-9829-0592

Güler

Muhammed Ali

TOBB EKONOMİ VE TEKNOLOJİ ÜNİVERSİTESİ

10 01 2022

1 1 28 41 06 29 2022 09 18 2022

2022

Journal of Optimization and Decision Making

It has been observed that there are inadequacies in determining membership degrees in classical set theory, where uncertainty can be modeled in a narrower definition range. In spherical fuzzy set theory, this has allowed it to be modeled in a wider range of definitions. In this study, a study was carried out by using the MULTIMOORA method and the spherical fuzzy set theorem. Spherical Fuzzy MULTIMOORA method, which references the steps of the classical MULTIMOORA method; The spherical fuzzy ratio method, spherical fuzzy reference method, spherical exact product is formed in the method, and the final result turns into a single order with the order dominance theorem. In the application part, in the study on the performance evaluation of armored vehicles, 4 different military armored vehicles were evaluated with the Global Fuzzy MULTIMOORA method according to 5 different criteria.

MULTIMOORA Method Spherical Fuzzy MULTIMOORA Armored Vehicles

Zadeh, L.A. (1965). Fuzzy Sets. Information and control, 8, 338-353 doi: https://doi.org/10.2307/2272014

Gündoğdu, F.K, Kahraman, C. (2019). Spherical fuzzy sets and spherical fuzzy TOPSIS method. Journal of intelligent&fuzzy systems, 36 (1), 337-352. doi: https://doi.org/10.3233/JIFS-181401

Brauers, W.K.M., Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies, Technological and economic development of Economy, 16(1), 5-24. doi: https://doi.org/10.3846/tede.2010.01

Cheng, C., Lin, Y. (2001). Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation, European Journal of Operational Research, 142, 174-186. doi: https://doi.org/10.1016/S0377- 2217(01)00280-6

Gazibey, Y., Kantemir, O., Demirel, A., (2015). Interaction among the Criteria Affecting Main Battle Tank Selection: An Analysis with DEMATEL Method, Defence Science Journal, 65, 345-355. doi: https://doi.org/10.14429/dsj.65.8924

Göleç, A., Gürbüz, F., Şenyiğit, E., (2016). Determination Of Best Military Cargo Aircraft With MultiCriteriaDecision-Making Techniques, MANAS Journal of Social Studies, 5, 87-101. https://avesis.erciyes.edu.tr/yayin/85587193-b95e-4aa9-b54d-8a01f52ca789/determination-of-best-militarycargo-aircraft-with-multi-criteria-decision-making-techniques

Guanziroli, A., Mattei, G, Canetta, L. (2017). Multi Criteria Analysis Applied on Value Chain Definition in Unmanned Aerial Vehicle (UAV) Sector. Madeira, Portugal

Ali, Y., Muzaffar, A., Muhammed, N., Salman, A., (2017). Selection Of A Fighter Aircraft To Improve The Effectıveness Of Aır Combat In The War On Terror: Pakistan Air Force - A Case In Poınt, International Journal of the Analytic Hierarchy Process, 9. doi: https://doi.org/10.13033/ijahp.v9i2.489

Yıldızbaşı, A., Özdemir, M., (2019). A Decısıon-Makıng Model Proposal (Aav) For Selectıon Of Amphıbıous Attack Vehıcles For Landıng Platform Dock (Lpd) By Integrated Mcdm Methods, Konya Journal of Engineering Sciences, 8, 369-383. doi: https://doi.org/10.36306/konjes.588831

Deniz, S. (2019). Savunma Tedarikinde Çok Kriterli Karar Verme Yöntemlerinin (Çkkv) Kullanılması: Topsıs Yöntemi İle Taktik Tekerlekli Zırhlı Araç (Ttza) Seçimi (Yüksek Lisans Tezi). Milli Savunma Üniversitesi, İstanbul.

Ardil, C., (2019). Aircraft Selection Using Multiple Criteria Decision Making Analysis Method with Different Data Normalization Techniques, International Journal of Industrial and Systems Engineering, 13, 744-756. https://publications.waset.org/10012211/aircraft-selection-using-multiple-criteria-decision-making-analysismethod-with-different-data-normalization-techniques

Ardil, C., (2019). Military Fighter Aircraft Selection Using Multiplicative Multiple Criteria Decision Making Analysis Method, International Journal of Mathematical and Computational Sciences, 13, 184- 193.https://publications.waset.org/10012190/military-fighter-aircraft-selection-using-multiplicative-multiplecriteria-decision-making-analysis-method

Santos, M., Costa, I., Gomes, C., (2021) Multicriteria Decision-Making In The Selection Of Warships: A New Approach To The Ahp Method, International Journal of the Analytic Hierarchy Process 13, 147-169. doi: https://doi.org/10.13033/ijahp.v13i1.833

Maeda, S., Costa, I., Junior, M., Favero, L., Costa, A., Corriça, J., Gomes, C., Santos, M. (2021). Multi-criteria Analysis Applied to Aircraft Selection by Brazilian Navy, Produçã, 31 doi: https://doi.org/10.1590/0103- 6513.20210011

Brauers, W., Zavadskas, Edmunds., (2006), The MOORA Method and Its Application to Privatization in a Transition Economy, Control and Cybernetics, 35, 445-469. https://www.researchgate.net/publication/228345226_The_MOORA_method_and_its_application_to_privatization_in_a_transition_economy

Bruers, W., Zavadskas.,(2010). Robustness of The Multi‐objective MOORA Method with a Test for The Facilities Sector, Technological and Economic Development, 15, 352-375. doi:https://doi.org/10.3846/1392- 8619.2009.15.352-375

Chakraborty, S.(2010). Applications of The MOORA Method for Decision Making in Manufacturing Environment, The International Journal of Advanced Manufacturing Technology, 54, 1155–1166. doi: https://doi.org/10.1007/s00170-010-2972-0

Ergül, Ö., (2015), Gri İlişkisel Analiz ve MOORA Yöntemleriyle Tedarikçi Seçimi ve Bir İşletmede Uygulaması (Yüksek Lisans Tezi). Kocaeli Üniversitesi, Kocaeli.

Chand, M., Bhatia, N. Singh, R., (2016), ANP-MOORA-Based Approach for The Analysis of Selected Issues of Green Supply Chain, Benchmarking An International Journal, 25, 642-659. doi: https://doi.org/10.1108/BIJ-11 2016-0177

Arabsheybani, A., Paydar, M., Safaei, A., (2018), An Integrated Fuzzy MOORA Method and FMEA Technique for Sustainable Supplier Selection, Journal of Cleaner Production, 190, 577-591. doi: https://doi.org/10.1016/j.jclepro.2018.04.167