Use of the DIBR-Grey EDAS Model of MCDM to the Selection of a Combat Unmanned Ground Platform


  • Marko Radovanović Military academy, University of Defense, Belgrade, Serbia
  • Darko Božanić Military Academy, University of Defence in Belgrade, Belgrade, Serbia
  • Aleksandar Petrovski Military Academy “General Mihailo Apostolski” Skopje, University “Goce Delchev” Shtip, North Macedonia
  • Aleksandar Milić Military Academy, University of Defence in Belgrade, Belgrade, Serbia


Defining Interrelationships Between Ranked criteria (DIBR), Evaluation based on Distance from Average Solution (EDAS), grey number, unmanned ground platform, MCDM


The paper presents a hybrid model of choosing a combat unmanned ground platform using the DIBR and grey – EDAS (G-EDAS) method. This model has been tested and confirmed on a case study in which combat unmanned platforms for the needs of the military were optimized. The criteria were defined, and then the DIBR method was used to determine the severity of the criteria. The ranking and selection of the most favorable alternative (combat unmanned ground platform) was carried out using the G-EDAS method. An analysis of the sensitivity of the proposed model was performed depending on the change in the weighting coefficients of the criteria. The proposed model has proven to be stable and is a reliable tool for the decision maker when choosing.


Bonadies, S., Lefcourt, A., Gadsden, A.S. (2016). A survey of unmanned ground vehicles with applications to agricultural and environmental sensing. Proc. SPIE 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 98660Q, doi:

Bošković, S., Švadlenka, L., Dobrodolac, M., Jovčić, S., & Zanne, M. (2023). An Extended AROMAN Method for Cargo Bike Delivery Concept Selection. Decision Making Advances, 1(1), 1–9.

Božanić, D. I., & Pamučar, D. S. (2010). Evaluating locations for river crossing using fuzzy logic. Military Technical Courier, 58(1), 129-145.

Chuprov, S., Belyaev, P., Gataullin, R., Reznik, L., Neverov, E., & Viksnin, I. (2023). Robust Autonomous Vehicle Computer-Vision-Based Localization in Challenging Environmental Conditions. Applied Sciences. 13(9), 5735.

Gage, D. W. (1995). UGV history 101: A brief history of Unmanned Ground Vehicle (UGV) development efforts. Naval Command Control and Ocean Surveillance Center, San Diego Ca.

Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multicriteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.

Ghorabaee, M.K., Amiri, M., Zavadskas, E.K. & Turskis, Z. (2017). Multi-criteria group decision-making using an extended EDAS method with interval type-2fuzzy sets. Economics and Management, 20(1), 157162537,

Hu, X., & Assaad, H.R. (2023). The use of unmanned ground vehicles (mobile robots) and unmanned aerial vehicles (drones) in the civil infrastructure asset management sector: Applications, robotic platforms, sensors, and algorithms, Expert Systems with Applications, 232, 120897,

Hurin, I., & Matvieiev, L. (2023). Multi-agent model of group control point of unmanned aircraft and unmanned ground vehicle when performing special missions. Testing and Certification, 1(1), 39-47.

Kahraman, C., Ghorabaee, M.K., Zavadskas, E.K., Cevik Onar, S., Yazdani, M., & Oztaysi, B. (2017). Intuitionistic fuzzy EDAS method: an application to solid waste disposal site selection. Journal of Environmental Engineering and Landscape Management, 25(1), 1-12.

Karasan, A., & Kahraman, C. (2018). Interval-valued neutrosophic extension of EDAS method. In Kacprzyk, J., Szmidt, E., Zadrozny, S., Atanassov, K.T., Krawczak, M. (Eds.), Proceedings of the 10th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2017) (pp. 343–357), Warsaw, Poland, 11–15 September 2017; Springer: Cham, Switzerland.

Keshavarz, E., Mahmoodirad, A., & Niroomand, S. (2023). A Transportation Problem Considering Fixed Charge and Fuzzy Shipping Costs. Decision Making Advances, 1(1), 115–122.

Li, X., Su, J., Wang, K., Feng, W. & Wu, X. (2023). Research on Adaptive Decision-Making Method for Unmanned Ground Vehicles Oriented to Human-Machine Collaboration. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering. MMESE 2023. Lecture Notes in Electrical Engineering, 1069, Springer, Singapore.

Lopatka, J.M. (2020). UGV for Close Support Dismounted Operations – Current Possibility to Fulfil Military Demand. Challenges to national defence in contemporary geopolitical situation, 2020(1), 16-23,

Łopatka, M.J., Cieślik, K., Krogul, P., Muszyński, T., Przybysz, M., Rubiec, A., & Spadło, K. (2023). Research on Terrain Mobility of UGV with Hydrostatic Wheel Drive and Slip Control Systems. Energies, 16(19), 6938.

Lukić, R. (2023). Performance Analysis of Trading Companies in Serbia Based on DIBR - WASPAS Methods. Proc. 28th International Scientific Conference Strategic Management and Decision Support Systems in Strategic Management SM 2023, Subotica, Serbia, 361-368.

Maini, P., Sundar, K., Singh, M., Rathinam, S., & Sujit, P., (2019). Cooperative aerial–ground vehicle route planning with fuel constraints for coverage applications. IEEE Transactions on Aerospace and Electronic Systems 55(6), 3016–3028.

Menekse, A., & Akdag, H. C. (2022). Distance education tool selection using novel spherical fuzzy AHP EDAS. Soft Computing, 26, 1617–1635,

Narang, M., Kumar, A., & Dhawan, R. (2023). A fuzzy extension of MEREC method using parabolic measure and its applications. Journal of Decision Analytics and Intelligent Computing, 3(1), 33–46.

Ozcelik, G., & Nalkiran, M. (2021). An extension of EDAS method equipped with trapezoidal bipolarfuzzy information: An application from healthcare system. International Journal of Fuzzy Systems, 23, 2348–2366.

Pamučar, D., Božanić, D., Milić, A. (2016). Selection of a course of action by Obstacle Employment Group based on a fuzzy logic system. Yugoslav journal of operations research, 26(1), 75-90.

Pamučar, D., Deveci, M., Gokasar, I., Işık, M., & Žižović, M. (2021). Circular economy concepts in urban mobility alternatives using integrated DIBR method and fuzzy Dombi CoCoSo model. Journal of Cleaner Production, 323(1), 129096.

Pamučar, D., Đorović, B., Božanić, D., & Ćirović, G. (2012). Modification of the dynamic scale of marks in analytic hierarchy process (AHP) and analytic network approach (ANP) through application of fuzzy approach. Scientific Research and Essays, 7(1), 24-37.

Pamučar, D., Simić, V., Lazarević, D., Dobrodolac, M. & Deveci, M. (2022). Prioritization of Sustainable MobilitySharing Systems Using Integrated Fuzzy DIBR and Fuzzy-Rough EDAS Model. Sustainable Cities and Society, 82, 103910.

Peng, X., & Liu, C. (2017). Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set. Journal of Intelligent & Fuzzy Systems, 32(1), 955–968.

Peng, X., Dai, J., & Yuan, H. (2017). Interval-valued fuzzy soft decision-making methods based on MABAC, similarity measure and EDAS. Fundamenta Informaticae, 152(4), 373–396.

Petrovski, A., & Radovanović, M. (2021). Application of detection reconnaissance technologies use by drones in collaboration with C4IRS for military interested. Contemporary Macedonian Defence, 21(40), 117-126.

Petrovski, A., Bogatinov, D., Radovanović, M., & Ackoska, S. (2023). Application of Drones in Crises Management Supported Mobile Applications and C4IRS Systems. In: Dobrinkova, N., Nikolov, O. (eds) Environmental Protection and Disaster Risks. EnviroRISKs 2022. Lecture Notes in Networks and Systems, Springer, 638, 321-334.

Puška, A., Šadić, S., Maksimović, A., & Stojanović, I. (2020). Decision support model in the determination of rural touristic destination attractiveness in the Brčko District of Bosnia and Herzegovina. Tourism and Hospitality Research, 20(4), 387-405.

Racette, J., Lotero, S., Gordon, J., Dinelli, C., Ebrahimkhanlou, A., Shao, S., Roghanchi, P., & Hassanalian, M. (2022). Hybrid UGV and Drone System for Mine Rescue Assistance. AIAA 2022, 3287. AIAA AVIATION 2022 Forum.

Radovanović, M., Božanić, D., Tešić, D., Puška, A., Hezam, M.I., & Jana, C. (2023). Application of hybrid DIBR-FUCOM-LMAW-Bonferroni-grey-EDAS model in multicriteria decision-making, Facta Universitatis, Series: Mechanical Engineering, 21(3), 387-403,

Radovanović, M., Petrovski, A., Žindrašič, V., & Ranđelović, A., (2021). Application of the fuzzy AHP -VIKOR hybrid model in the selection of an unmanned aircraft for the needs of tactical units of the armed forces. Scientific Technical Review, 71(2), 26-35.

Ramasamy, S., Reddinger, J.P.F., Dotterweich, M.J., Childers, A.M., & Bhounsule, A.P. (2022). Coordinated route planning of multiple fuel-constrained unmanned aerial systems with recharging on an unmanned ground vehicle for mission coverage. Journal of Intelligent & Robotic Systems 106(1), 1–18.

Sharma, G. (2012). Unmanned Combat Vehicles: Weapons for the Fourth Generation Warfare. Scholar Warrior: Washington, DC, USA, 104–113.

Stanujkić, D., Zavadskas, E.K., Ghorabaee, M.K., & Turskis, Z. (2017). An Extension of the EDAS Method Based on the Use of Interval Grey Numbers. Studies in Informatics and Control, 26(1), 5-12.

Stević, Z., Vasiljević, M., Puška, A., Tanackov, I., Junevicius, R., & Vesković, S. (2019). Evaluation of suppliers under uncertainty: A multiphase approach based on fuzzy AHP and fuzzy EDAS. Transport, 34, 52–66.

Szpaczyńska, D., Łopatka, M., & Krogul, P. (2022). The Running Gear Construction Impact on Obstacles Overcoming by Light High-Mobility UGV. 11th Asia-Pacific Regional Conference of the ISTVS, 4260,

Teow, A., & Yakimenko, O. (2018). Contemplating Urban Operations Involving a UGV Swarm. International Conference on Control and Robots (ICCR), 35-45.

Tešić, D., & Marinković, D. (2023). Application of fermatean fuzzy weight operators and MCDM model DIBR-DIBR II-NWBM-BM for efficiency-based selection of a complex combat system. Journal of Decision Analytics and Intelligent Computing, 3(1), 243–256.

Tešić, D., Božanić, D., Pamučar, D., Din, J., (2022a). DIBR–FUZZY MARCOS model for selecting a location for aheavy mechanized bridge. Military Technical Courier, 70(2), 314-333.

Tešić, D., Božanić, D., Stojković, D., Puška, A., & Stojanović, I. (2023). DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense. Discrete Dynamics in Nature and Society, 2023, 4961972,

Tešić, D., Radovanović, M., Božanić, D., Pamučar, D., Milić, A. & Puška, A. (2022b). Modification of the DIBR and MABAC Methods by Applying Rough Numbers and Its Application in Making Decisions. Information, 13, 353.

Torkayesh, E. A., Deveci, M., Karagoz, S., & Antucheviciene, J., (2023). A state-of-the-art survey of evaluation based on distance from average solution (EDAS): Developments and applications. Expert Systems with Applications, 221, 119724,

Ulutaş, A. (2017). Sewing Machine Selection for a Textile Workshop by Using EDAS Method. Journal of Business Research-Türk, 9(2), 169-183.

Wei, Y., Qiu, H., Liu, Y., Du, J., & Pun, O.P. (2017). Unmanned aerial vehicle (UAV)-assisted unmanned ground vehicle (UGV) systems design, implementation and optimization. In: 3rd IEEE International Conference on Computer and Communications (ICCC), (pp. 2797-2801), Chengdu, China, doi: 10.1109/CompComm.2017.8323042.

Wu, Y., Wu, S., & Hu, X. (2020). Cooperative path planning of uavs & ugvs for a persistent surveillance task in urban environments. IEEE Internet of Things Journal 8(6), 4906–4919.

Zhang, H., Wang, H., Wei, G., & Chen, X. (2023). An integrated decision support system for stock investment based on spherical fuzzy PT-EDAS method and MEREC. Technological and Economic Development of Economy, 29(4), 1353–1381,

Zhang, N., Su, W., Zhang, C., & Zeng, S. (2022). Evaluation and selection model of community grouppurchase platform based on WEPLPA-CPT-EDAS method. Computers & Industrial Engineering, 172, 108573.

Žnidaršič, V., Radovanović, M., & Stevanović, D. (2020). Modeling the Organisational Implementation of a Drone and Counter-Drone Operator into the Serbian Armed Forces Rifle Section. Vojno delo, 72(3), 84 -109.



How to Cite

Radovanović, M., Božanić, D., Petrovski, A., & Milić, A. (2024). Use of the DIBR-Grey EDAS Model of MCDM to the Selection of a Combat Unmanned Ground Platform . Operations Research and Engineering Letters, 3(1), 8–18. Retrieved from