Multi-criteria decision-making in A defensive operation of the guided anti-tank missile battery: An example of the hybrid model fuzzy AHP - MABAC
DOI:
https://doi.org/10.31181/dmame180151bKeywords:
Fuzzy AHP, MABAC, MCDM, Sensitivity AnalysisAbstract
The military decision-making process is a proven analytical process for designing operations, troops’ movements, logistics or air defense planning. The hybrid FAHP-MABAC model is tested for obtaining/selecting the results for an optimal firing position of the guided anti-tank missile battery (GAMB).This study provides a multi-criteria decision-making (MCDM) model so that the confidence interval of fuzzy numbers describes the comparison in pairs whose degree is not determined before the comparison. By using mathematical expressions the confidence interval is brought into direct connection with the degree of certainty of decision-makers/expert of the comparison performed. In the group decision-making, the confidence intervals differ depending on the decision-maker/expert’s opinion. Finally the sensitivity analysis is used to determine how sensitive a decision model is. The suggested model is expected to contribute to the development of the science of military-operations as well as to prove itself useful to the actors related to defense.
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Andersson, K., Bang M., Marcus, C., Persson, B., Sturesson, P., Jensen, E., & Hult, G. (2015). Military utility: A proposed concept to support decision-making. Technology in Society Volume, 43, 23-32.
Boccia, M., Verde, P., Angelino, G., Carrozzo, P., Vecchi, D., Piccardi, P., Colangeli, S., Cordellieri, P., Ferlazzo, F., & Giannini, A. (2017). Effect of professional expertise and exposure to everyday life decision-making on moral choices. Neuroscience Letters Volume, 654, 80-85.
Bojanić, D., Bojanić, M., & Ristić, V. (2017). Application of hybrid model fuzzy AHP – MABAC in ranking the potential locations of the firing position of anti-armour battery in defense operation. Proceedings of The 1st International Conference on Management, Engineering and Environment (ICMNEE) (pp. 395-407). Belgrade: ECOR (RABEK).
Božanić, D. (2017). The model of decision support in for river crossing in the attack operation of the Land Army (Only in Serbian: Model podrške odlučivanju pri savlađivanju vodenih prepreka u napadnoj operaciji Kopnene vojske). Doctoral dissertation, Military Academy, University of Defence, Belgrade, Serbia.
Božanić, D., Karović, S., & Pamučar, D. (2015). The fuzzification of Saaty’s scale using a triangular fuzzy number with a variable confidence interval (Only in Serbian: Fazifikacija Saaty-jeve skale primenom trouglastog fuzzy broja sa promenljivim intervalom poverenja). In Mladenović, N., Urošević, D., & Stanimirovć, Z., Proceedings of The Symposium on Operational Research (pp. 420-424). Srebrno jezero: The SANU Mathematical Institute.
Božanić, D., Pamučar, D., & Karović , S. (2016a). Use of the fuzzy AHP – MABAC hybrid model in ranking potential locations for preparing laying-up positions. Vojnotehnički glasnik/Military Technical Courier, 64(3), 705-729.
Božanić, D., Pamučar, D., & Karović, S. (2016b). Application the MABAC method in support of decision-making on the use of force in a defensive operation. Tehnika, 71(1), 129-137.
Čupić, M., & Suknović, M. (2010). Decision making (Only in Serbian: Odlučivanje). Belgrade: Faculty of Organisational Sciences.
De Leeneer, I., & Pastijn, H. (2002). Selecting land mine detection strategies by means of outranking MCDM techniques. European Journal of Operational Research, 139(2), 327-338.
Gordic, M., Slavkovic, R., & Talijan, M. (2013). A conceptual model of the state security system using the modal experiment. Carol I” National Defence University Publishing House, 48(3), 58-67.
Göztepe, K., & Kahraman C. (2015). A New Approach to Military Decision Making Process: Suggestions from MCDM Point of View. Proceedings of The International Conference on Military and Security Studies, 118-122.
Gyarmati, J. (2015). Military Application of Multi-Criteria Decision Making. AARMS 14(4), 291–297.
Inđić, D., Luković, Z., & Mučibabić, S. (2014). Engagement model for NBC service units during chemical accidents, Vojnotehnički glasnik/Military Technical Courier, 62(1), 23-41.
Jotić, S., & Slavković, R. (2016). Artillery and rocket support in operations, Vojno delo, 68(7), 278-294.
Kewley, H. R., & Embrechts, J. M. (2002). Computational military tactical planning system. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 32(2), 161-171.
Knežević, N., Macura, D., & Bojović, N. (2015), Application of the A’WOT method for the selection of postal services development scenario in the Republic of Serbia. Tehnika, 70(1), 158-163.
Knežević, Z., & Slavković, R. (2012). Characteristics and problems of artillery-rocket support forces use in combat operations, Vojno delo, 64(4), 115-128.
Kose E., Kabak M., & Aplak H. (2013). Grey theory based MCDM procedure for sniper selection problem. Grey Systems: Theory and Application, 3(1), 35-45.
Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028.
Pamučar, D., Božanić, D., & Milić, A. (2016a). 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., Božanić, D., Kurtov, D. (2016b). Fuzzification of the Saaty’s scale and a presentation of the hybrid fuzzy AHP-TOPSIS model: an example of the selection of a Brigade Artillery Group firing position in a defensive operation, Vojnotehnički glasnik/Military Technical Courier, 64(4), 966-986.
Rule book self-propelled anti-tank battery–platoon. (2016). (Only in Serbian: Pravilo samohodna protivoklopna baterija-vod). Belgrade: GŠVS.
Sánchez-Lozano, J. M., Serna J., & Dolón-Payán, A. (2015). Evaluating military training aircrafts through the combination of multi-criteria decision making processes with fuzzy logic. A case study in the Spanish Air Force Academy Aerospace Science and Technology, 42, 58-65.
Sánchez-Lozano, J. M., Teruel-Solano, J., Soto-Elvira P. L., & García-Cascales M. S. (2013). Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) Methods for the evaluation of solar farms locations: case study in south-eastern Spain. Renew. Sustain. Energy Rev., 24, 544–556.
Seiford, L.M. (1996). The evolution of the state-of-art (1978-1995). Journal of Productivity Analysis, 7, 99-137.
Slavkovic, R., Talijan, M., & Jelic, M. (2013). Relationship between theory and doctrine of operational art. Security and Defence Quarterly, 1(1), 54-75.
The military lexicon. (1981). (Only in Serbian: Vojni leksikon). Belgrade: Military publishing institute/Vojnoizdavački zavod.
Zanjirani, R., & Asgarib, F. N. (2007). Combination of MCDM and covering techniques in a hierarchical model for facility location: A case study. European Journal of Operational Research, 176(3), 1839-1858.
Zhu, K.J., Jing, Y., & Chang, D.Y. (1999). A discussion on extent analysis method and applications on fuzzy AHP. European Journal of Operational Research, 116(18), 450-456.
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