LBWA – Z-MAIRCA model supporting decision making in the army
DOI:
https://doi.org/10.31181/oresta2003087bKeywords:
LBWA, MAIRCA, Z-number, fuzzy number, MCDMAbstract
The paper presents a hybrid model LBWA – Z-MAIRCA used to support decision making in the selection of a location of a camp (camp space), which has a role of providing individuals and army units with regular life and operation conditions in the field, i.e. in the conditions outside the barracks. The paper defines and explains the criteria affecting the selection of a camp (camp space), and the LBWA method is used to define the weight coefficients of the criteria. Using the MAIRCA method, which is modified with Z-numbers, it is selected the best alternative. In the final phase of the model development, the sensitivity analysis is performed and the results obtained by the developed model are compared with the results obtained by applying other methods and their various modifications.
Downloads
References
Aboutorab, H., Saberi, M., Asadabadi, M.R., Hussain, O., & Chang, E. (2018). ZBWM: The Z-number extension of Best Worst Method and its application for supplier development. Expert Systems With Applications, 107, 115-125.
Adar, T., & Delice, E.K. (2019). An Integrated MC-HFLTS & MAIRCA Method and Application in Cargo Distribution Companies. International Journal of Supply and Operations Management, 6(3), 276-281.
Adar, T., & Delice, E.K. (2020). New integrated approaches based on MC-HFLTS for healthcare waste treatment technology selection. Journal of Enterprise Information Management, 32(4), 688-711.
Arsić, S., Pamučar, D., Suknović, M., & Janošević, M. (2019). Menu evaluation based on rough MAIRCA and BW methods. Serbian journal of management, 14(1), 27-48.
Ayçin, E. (2020). Personel Seçim Sürecinde CRITIC ve MAIRCA Yöntemlerinin Kullanılması. İşletme, 1(1), 1-12.
Ayçin, E., & Orçun, Ç. (2019). Evaluation of Performance of Deposit Banks by Entropy and MAIRCA Methods. Balıkesir University The Journal of Social Sciences Institute, 22(42), 175-194.
Azadeh, A., & Kokabi, R. (2016). Z-number DEA: A new possibilistic DEA in the context of Z-numbers. Advanced Engineering Informatics, 30, 604–617.
Azadeh, A., Saberi, M. & Pazhoheshfar, P. (2013). Z-AHP: A Z-number Extension of Fuzzy Analytical Hierarchy Process. Proceedings of the 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST), Menlo Park, CA, USA, 141-147.
Badi, I., & Ballem, M. (2018). Supplier selection using the rough BWM – MAIRCA model: A case study in pharmaceutical supplying in Libya. Decision Making: Applications in Management and Engineering, 1(2), 16-33.
Bagocius, V., Zavadskas, E.K., & Turskis, Z. (2014). Selecting a Location for a Liquefied Natural Gas Terminal in the Eastern Baltic Sea. Transport, 29, 69–74.
Bobar, Z., Božanić, D., Djurić, K.A. & Pamučar, D. (2020). Ranking and Assessment of the Efficieny of Social Media using the Fuzzy AHP-Z Number Model – Fuzzy MABAC. Acta Polytechnica Hungarika, 17(3), 43-70.
Boral, S, Howard, I., Chaturvedi, S.K., McKee, K., & Naikan, V.N.A. (2020). An integrated approach for fuzzy failure modes and effects analysis using fuzzy AHP and fuzzy MAIRCA. Engineering Failure Analysis, 108, paper no. 104195.
Božanić, D., & Pamučar, D. (2010). Evaluating locations for river crossing using fuzzy logic. Vojnotehnički glasnik/Military Technical Courier, 58(1), 129-145.
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.
Božanić, D., Pamučar, D., & Tešić, D. (2019a). Selection of the location for construction, reconstruction and repair of flood defense facilities by IR-MAIRCA model application, Proceedings of the 5th International Scientific-Professional Conference Security and Crisis Management – Theory and Practice (SeCMan), Belgrade, Serbia, 300-308.
Božanic, D., Tešić, D., & Kočić, J. (2019b), Multi-criteria FUCOM–fuzzy MABAC model for the selection of location for construction of single-span bailey bridge. Decision Making: Applications in Management and Engineering, 2(1), 132 – 146.
Božanić, D., Tešić, D., & Milić, A. (2020). Multicriteria decision making model with Z- numbers based on FUCOM and MABAC model. Decision Making: Applications in Management and Engineering, 3(2), 19-36.
Chatterjee, K., Pamučar, D., & Zavadskas, E. K. (2018). Evaluating the performance of suppliers based on using the R'AMATEL-MAIRCA method for green supply chain implementation in electronics industry. Journal of Cleaner Production, 184, 101-129.
Chutia, R., Mahanta, S. & Datta, D. (2013). Linear equations of generalized triangular fuzzy numbers. Annals of Fuzzy Mathematics and Informatics, 6(2), 371-376.
Di Matteo, U., Pezzimenti, P.M., & Garc, D. A. (2016). Methodological Proposal for Optimal Location of Emergency Operation Centers through Multi-Criteria Approach. Sustainability, 8, paper no. 50.
Gigović, Lj., Pamučar, D., Bajić, Z., & Milićević, M. (2016). The Combination of Expert Judgment and GIS-MAIRCA Analysis for the Selection of Sites for Ammunition Depots. Sustainability, 8, paper no. 372.
Gigović, Lj., Pamučar, D., Božanić, D., & Ljubojević, S. (2017). Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia. Renewable Energy, 103, 501-521.
Hashemkhani Z.S., Fatih, A., Pamučar, D., & Raslanas, S. (2020). Neighborhood selection for a newcomer via a novel BWM based the revised MAIRCA integrated. Journal of Strategic Property Management, 24(2), 102-118.
Hristov, S. (1978). Organization of engineering works (Only in Serbian: Organizacija inžinjerijskih radova). Belgrade: Military publishing institute/Vojnoizdavački zavod.
Kang, B., Wei, D., Li, Y., & Deng, Y. (2012a). Decision Making Using Z-numbers under Uncertain Environment. Journal of Computational Information Systems, 8, 2807-2814.
Kang, B., Wei, D., Li, Y. & Deng, Y. (2012b). A Method of Converting Z-number to Classical Fuzzy Number. Journal of Information & Computational Science, 9(3), 703-709.
Liou, T.S., & Wang, M.J. (1992). Ranking fuzzy numbers with integral value. Fuzzy Sets and Systems, 50, 247-256.
Milićević, M. (2014). The Expert Evaluation (Only in Serbian: Ekspertsko ocenjivanje). Belgrade: MC “Defense”.
Milosavljević, M., Bursać, M., & Tričković G. (2018). Selection of the railroad container terminal in Serbia based on multi criteria decision-making methods. Decision Making: Applications in Management and Engineering, 1(2), 1 – 15.
Pamučar D., Vasin Lj., & Lukovac L. (2014). Selection of railway level crossings for investing in security equipment using hybrid DEMATEL-MARICA model. Proceedings of the 16th International Scientific-expert Conference on Railway (Railcon), Niš, Serbia, 89-92.
Pamučar, D, Božanić, D., & Kurtov, D. (2016a). 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.
Pamučar, D. Božanić, D., & Milić, A. (2016b). 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., & Ranđelović, A. (2017a). Multi-criteria decision making: An example of sensitivity analysis. Serbian Journal of Management, 12(1), 1-27.
Pamučar, D., Mihajlović, M., Obradović, R., & Atanasković, P. (2017b). Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model. Expert Systems With Applications, 88, 58-80.
Pamučar, D., Deveci, M., Canitez, F., & Lukovac, V. (2020). Selecting an airport ground access mode using novel fuzzy LBWA-WASPAS-H decision making model. Engineering Applications of Artificial Intelligence, 93, paper no. 103703.
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., Lukovac, V., Božanić, D., & Komazec, N. (2018). Multi-criteria FUCOM - MAIRCA model for the evaluation of level crossings: Case study in the Republic of Serbia. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 108-129.
Sahrom, N.A., & Dom, R.M. (2015). A Z-number extension of the hybrid Analytic Hierarchy Process-Fuzzy Data Envelopment Analysis for risk assessment. Proceedings of the 7th International Conference on Research and Education in Mathematics: Empowering Mathematical Sciences through Research and Education (ICREM7), Kuala Lumpur, Malaysia, 19-24.
Salari, M., Bagherpur, M. & Wang, J. (2014). A novel earned value management model using Z-number. International Journal of Applied Decision Sciences, 7(1), 97-118.
Seiford, L.M. (1996). The evolution of the state-of-art (1978-1995). Journal of Productivity Analysis, 7, 99-137.
Sennaroglu, B., & Celebi, G.V. (2018). A military airport location selection by AHP integrated PROMETHEE and VIKOR methods. Transportation Research Part D: Transport and Environment, 59, 160-173
Stević, Ž. (2018). An integrated model for supplier evaluation in supply chains. PhD Thesis, Faculty of Technical Sciences, University of Novi Sad, Serbia.
Tavakkoli-Moghaddam, R., Mousavi, S., & Heydar, M. (2011). An integrated AHP-VIKOR methodology for plant location selection. International Journal of Engineering, Transactions B: Applications, 24(2), 127-137.
Tešić, D., & Božanić, D. (2018). Application of the MAIRCA method in the selection of the location for crossing tanks under water. Tehnika, 68(6), 860-867.
Tomic, V., Marinkovic, D., & Markovic, D. (2014). The Selection of Logistic Centers Location Using Multi-Criteria Comparison: Case Study of the Balkan Peninsula. Acta Polytechnica Hungarika, 11, 97–113.
Tuzkaya, U.R., Yilmazer, K.B., & Tuzkaya, G. (2015). An Integrated Methodology for the Emergency Logistics Centers Location Selection Problem and its Application for the Turkey Case. Journal of Homeland Security and Emergency Management, 12, 121–144.
Yaakob, A.M., & Gegov. A. (2015). Fuzzy Rule-Based Approach with Z-Numbers for Selection of Alternatives using TOPSIS. Proceedings of the IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, 1-8.
Zadeh, L.A. (2011). A note on Z-number. Information Sciences, 181, 2923-2932.
Żak, J., & Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555 – 564.
Žižović, M., & Pamučar, D. (2019). New model for determining criteria weights: Level Based Weight Assessment (LBWA) model. Decision Making: Applications in Management and Engineering, 2(2), 126-137.
*(1981). Military Lexicon (Only in Serbian: Vojni leksikon). Belgrade: Military publishing institute/Vojnoizdavački zavod.