Model DIBR – Fuzzy MARCOS za izbor lokacije za postavljanje teškog mehanizovanog mosta

Ključne reči: lokacija, most, višekriterijumsko odlučivanje, DIBR, Fuzzy, MARCOS

Sažetak


Uvod/cilj: U radu je predstavljen model višekriterijumskog odlučivanja DIBR-FMARCOS za definisanje lokacije za postavljanje mosta na prepreci primenom teškog mehanizovanog mosta (TMM-3). Nakon primene predloženog modela izvršena je analiza osetljivosti izlaznih rezultata. Zaključeno je da je model stabilan, odnosno da daje konzistentne rezultate i da je njegova primena moguća u realnim situacijama.

Metode: Za određivanje težinskih koeficijenata kriterijuma  korišćena je metoda DIBR, dok je rangiranje alternativa izvršeno metodom Fuzzy MARCOS.

Rezultati: Primenom ovog modela došlo se do izbora mesta za postavljanje mosta od kompleta TMM-3, na osnovu definisanih kriterijuma. Nakon primene predloženog modela izvršena je analiza osetljivosti izlaznih rezultata i dokazana konzistentnost izlaznih rezultata metode.

Zaključak: Predloženi model može se primeniti u praksi, jer daje stabilne izlazne rezultate. Takođe, metoda DIBR olakšava postupak dobijanja težinskih koeficijenata kriterijuma, a metoda FMARCOS dobro podnosi nejasne i neprecizne ulazne podatke i ima dobru stabilnost. Ovaj model može se dodatno unaprediti detaljnijom operacionalizacijom kriterijuma, kao i upotrebom drugih i različitih metoda za određivanje težinskih koeficijenata kriterijuma i rangiranja.

Reference

Ak, M.F. & Acar, D. 2021. Selection of Humanitarian Supply Chain Warehouse Location: A Case Study Based on the MCDM Methodology. European Journal of Science and Technology, 22, pp.400-409 [online]. Available at: https://dergipark.org.tr/en/pub/ejosat/issue/59649/849896 [Accessed: 15 January 2022].

Arif, M., Wirjodirdjo, B., Astika, I. & Rivai, A. 2021. Analysis of selection of arsenal warehouse locations to support KRI operations in the koarmada ii area analysis of arsenal storage location selection to support the operations of Indonesian navy warship (KRI) in the 2nd naval fleet territory. Journal ASRO, 12(01), pp.40-45. Available at:  https://doi.org/10.37875/asro.v12i01.379

Bakır, M. & Atalık, Ö. 2021. Application of Fuzzy AHP and Fuzzy MARCOS Approach for the Evaluation of E-Service Quality in the Airline Industry. Decision Making: Applications in Management and Engineering, 4(1), pp.127-152. Available at: https://doi.org/10.31181/dmame2104127b

Bozbura, F.T, Beskese, A. & Kahraman, C. 2007. Prioritization of human capital measurement indicators using fuzzy AHP. Expert Systems with Applications, 32, pp.1100–1112. Available at: https://doi.org/10.1016/j.eswa.2006.02.006

Božanić, D., Karović, S. & Pamučar, D. 2015. Fazifikacija Saaty-jeve skale primenom trouglastog fuzzy broja sa promenljivim intervalom poverenja (in  Serbian). In: Proceedings of XLII International Symposium on Operational Research SYM-OP-IS 2015, Srebrno jezero, Serbia, pp.420-424, September 15-18 [online]. Available at: http://symopis2015.matf.bg.ac.rs/ZbornikN.pdf [Accessed: 15 January 2022].

Božanić, D., Milić, A., Tešić, D., Sałabun, W. & Pamučar, D. 2021. D numbers – FUCOM – fuzzy RAFSI model for selecting the group of construction machines for enabling mobility. Facta Universitatis, Series: Mechanical Engineering, 19(3), pp.447-471. Available at: https://doi.org/10.22190/FUME210318047B

Božanić, D., Ranđelović, A., Radovanović, M. & Tešić, D. 2020b. A hybrid LBWA-IR-MAIRCA multi-criteria decision-making model for determination of constructive elements of weapons. Facta Universitatis, Series: Mechanical Engineering, 18(3), pp.399-418. Available at: https://doi.org/10.22190/FUME200528033B

Božanić, D., Tešić, D. & Kočić, J. 2019. 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), pp.132-146 [online]. Available at: https://dmame.rabek.org/index.php/dmame/article/view/32 [Accessed: 15 January 2022].

Božanić, D., Tešić, D. & Milić, A. 2020a. Multicriteria decision making model with Z-numbers based on FUCOM and MABAC model. Decision Making: Applications in Management and Engineering, 3(2), pp.19-36 [online]. Available at: https://dmame.rabek.org/index.php/dmame/article/view/72 [Accessed: 15 January 2022].

Božanić, D., Tešić, D. & Milićević, J. 2018. A hybrid fuzzy AHP-MABAC model: Application in the Serbian Army – The selection of the location for deep wading as a technique of crossing the river by tanks. Decision Making: Applications in Management and Engineering, 1(1), pp.143-164 [online]. Available at: https://dmame.rabek.org/index.php/dmame/article/view/2 [Accessed: 15 January 2022].

Chatterjee, P. & Stević, Ž. 2019. A two-phase fuzzy AHP - fuzzy TOPSIS model for supplier evaluation in manufacturing environment. Operational Research in Engineering Sciences: Theory and Applications, 2(1), pp.72-90 [online]. Available at: https://www.oresta.rabek.org/index.php/oresta/article/view/19 [Accessed: 15 January 2022].

Deveci, M., Özcan, E., John, R., Pamucar, D. & Karaman, H. 2021. Offshore wind farm site selection using interval rough numbers based Best Worst Method and MARCOS. Applied Soft Computing, 109, 107532. Available at: https://doi.org/10.1016/j.asoc.2021.107532

Durmić, E., Stević, Ž., Chatterjee, P., Vasiljević, M. & Tomašević , M. 2020. Sustainable supplier selection using combined FUCOM – Rough SAW model. Reports in Mechanical Engineering, 1(1), pp.34-43 [online]. Available at: https://www.frontpres.rabek.org/index.php/asd/article/view/4 [Accessed: 15 January 2022].

Đalić, I., Stević, Ž., Karamasa, C. & Puška, A. 2020. A novel integrated fuzzy PIPRECIA – interval rough SAW model: green supplier selection. Decision Making: Applications in Management and Engineering, 3(1), pp.126-145 [online]. Available at: https://dmame.rabek.org/index.php/dmame/article/view/60 [Accessed: 15 January 2022].

Ecer, F. &  Pamucar D. 2021. Marcos Technique Under Intuitionistic Fuzzy Environment for Determining the Covid-19 Pandemic Performance of Insurance Companies in Terms of Healthcare Services. Applied Soft Computing, 104, art.ID:107199. Available at: https://doi.org/10.1016/j.asoc.2021.107199

Ehsanifar, M., Wood, D.A. & Babaie, A. 2021. UTASTAR method and its application in multi-criteria warehouse location selection. Operations Management Research, 14, pp.202–215. Available at:  https://doi.org/10.1007/s12063-020-00169-6.

Jokić, Ž., Božanić, D. & Pamučar, D. 2021. Selection of fire position of mortar units using LBWA and Fuzzy MABAC model. Operational Research in Engineering Sciences: Theory and Applications, 4(1), pp.115-135 [online]. Available at: https://oresta.rabek.org/index.php/oresta/article/view/89 [Accessed: 15 January 2022].

Karaaslan, A., Adar, T. & Delice, E.K. 2021. Regional evaluation of renewable energy sources in Turkey by new integrated AHP-MARCOS methodology: a real application. International Journal of Sustainable Energy, pp.1-23. Available at: https://doi.org/10.1080/14786451.2021.1897126

Kaya, T. 2021. Small Hotel Location Selection Problem: The Case of Cappadocia. Advances in Hospitality and Tourism Research (AHTR), 9(2), pp.368-389. Available at: https://doi.org/10.30519/ahtr.899626

Liou, T-S. & Wang, M-J.J. 1992. Ranking Fuzzy Numbers With Integral Value. Fuzzy Sets and Systems, 50(3), pp.247-255. Available at: https://doi.org/10.1016/0165-0114(92)90223-Q

Mihajlović, J., Rajković, P., Petrović, G. & Ćirić, D. 2019. The Selection of the Logistics Distribution Center Location Based on MCDM Methodology in Southern and Eastern Region in Serbia. Operational Research in Engineering Sciences: Theory and Applications, 2(2), pp.72-85 [online]. Available at: https://oresta.rabek.org/index.php/oresta/article/view/28 [Accessed: 15 January 2022].

Mijatović, R. 2008. Normativi i standardi rada u građevinarstvu - Niskogradnja 6 (in  Serbian). Belgrade: Građevinska knjiga & Novi Sad: Stylos. ISBN: 978-86-395-0564-6

Milovanović, V.R., Aleksić, A.V., Sokolović, V.S. & Milenkov, M.A. 2021. Uncertainty modeling using intuitionistic fuzzy numbers. Vojnotehnički glasnik/Military Technical Courier, 69(4), pp.905-929. Available at: https://doi.org/10.5937/vojtehg69-33301

Miškić, S, Stević, Ž. & Tanackov, I. 2021. A novel integrated SWARA-MARCOS model for inventory classification. International Journal of Industrial Engineering & Production Research; 32 (4), pp.1-17. Available at: https://doi.org/10.22068/ijiepr.32.4.6

Muhammad, L.J., Badi, I., Haruna, A.A. & Mohammed, I.A. 2021. Selecting the Best Municipal Solid Waste Management Techniques in Nigeria Using Multi Criteria Decision Making Techniques. Reports in Mechanical Engineering, 2(1), pp.180-189. Available at: https://doi.org/10.31181/rme2001021801b

Pamucar, D., Deveci, M., Gokasar, I., Işık, M. & Zizovic, M. 2021a. Circular economy concepts in urban mobility alternatives using integrated DIBR method and fuzzy Dombi CoCoSo model. Journal of Cleaner Production, 323, art.ID:129096. Available at: https://doi.org/10.1016/j.jclepro.2021.129096

Pamucar, D., Ecer, F. & Deveci, M. 2021b. Assessment of alternative fuel vehicles for sustainable road transportation of United States using integrated fuzzy FUCOM and neutrosophic fuzzy MARCOS methodology. Science of The Total Environment, 788, art.ID:147763. Available at: https://doi.org/10.1016/j.scitotenv.2021.147763

Pamučar, D., Božanić, D. & Komazec, N. 2016. Risk Assessment of Natural Disasters Using Fuzzy Logic System of Type 2. Management - Journal for Theory and Practice Management, 21(80), pp.23-34. Available at: https://doi.org/10.7595/management.fon.2016.0016

Pamučar, D., Božanić, D. & Randjelovic, A. 2017. Multi-criteria decision making: An example of sensitivity analysis. Serbian Journal of Management, 12(1), pp.1-27. Available at: https://doi.org/10.5937/sjm12-9464

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), pp.24-37 [online]. Available at: https://academicjournals.org/journal/SRE/article-full-text-pdf/7CF489125747/ [Accessed: 15 January 2022].

Puška, A., Stević, Ž. & Stojanović, I. 2021. Selection of Sustainable Suppliers Using the Fuzzy MARCOS Method. Current Chinese Science, 1(2), pp.218-229. Available at: https://doi.org/10.2174/2210298101999201109214028

Radovanovic, M., Ranđelović, A. & Jokić, Ž. 2020. Application of hybrid model fuzzy AHP - VIKOR in selection of the most efficient procedure for rectification of the optical sight of the long-range rifle. Decision Making: Applications in Management and Engineering, 3(2), pp.131-148 [online]. Available at: https://dmame.rabek.org/index.php/dmame/article/view/149 [Accessed: 15 January 2022].

Riaz M., Farid H.M.A., Aslam M., Pamucar D. & Bozanić D. 2021. Novel Approach for Third-Party Reverse Logistic Provider Selection Process under Linear Diophantine Fuzzy Prioritized Aggregation Operators. Symmetry, 13(7), art.ID:1152. Available at: https://doi.org/10.3390/sym13071152

Seiford, L.M. 1996.  Data envelopment analysis: The evolution of the state of the art (1978–1995). Journal of Productivity Analysis, 7, pp.99-137. Available at: https://doi.org/10.1007/BF00157037

Singh, R.K., Chaudhary, N. & Saxena, N. 2018. Selection of warehouse location for a global supply chain: A case study. IIMB Management Review, 30(4), pp.343-356. Available at: https://doi.org/10.1016/j.iimb.2018.08.009

Srđević, B., Srđević, Z. & Suvočarev, K. 2009. Analitički hijerarhijski proces – individualna i grupna konzistentnost donosilaca odluka. Vodoprivreda, 41(1-3), pp.13-21 [online]. Available at: https://www.vodoprivreda.net/analiticki-hijerarhijski-proces-individualna-i-grupna-konzistentnost-donosilaca-odluka/ (in  Serbian) [Accessed: 15 January 2022].

-SSNO. 1973. Teški lansirni most TMM-3 na automobilu KRAZ-255B, knjiga 1 (opis, rukovanje i održavanje) (in  Serbian). Belgrade: SSNO, Tehnička uprava.

Stanujkić, D. & Karabašević, D. 2018. An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy numbers: a case of website evaluation. Operational Research in Engineering Sciences: Theory and Applications, 1(1), pp.29-39 [online]. Available at: https://www.oresta.rabek.org/index.php/oresta/article/view/4 [Accessed: 15 January 2022].

Stević, Z., Pamučar, D., Puška, A. & Chaterjee, P. 2020. Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS). Computeras and Industrial Engineering, 140, art.ID:106231. Available at: https://doi.org/10.1016/j.cie.2019.106231

Stević, Ž., Das, D.K. & Kopić, M. 2021. A Novel Multiphase Model for Traffic Safety Evaluation: A Case Study of South Africa. Mathematical Problems in Engineering, 2021, art.ID:5584599. Available at: https://doi.org/10.1155/2021/5584599

Tešić, D. & Božanić, D. 2018. Application of the MAIRCA method in the selection of the location for crossing tanks under water. Tehnika, 73(6), pp.860-867. Available at: https://doi.org/10.5937/tehnika1806860T

Torkayesh, A.E., Hashemkhani Zolfani, S., Kahvand, M. & Khazaelpour, P. 2021. Landfill location selection for healthcare waste of urban areas using hybrid BWM-grey MARCOS model based on GIS. Sustainable Cities and Society, 67, art.ID:102712. Available at: https://doi.org/10.1016/j.scs.2021.102712

Ulutaş, A., Balo, F., Sua, L., Demir, E., Topal, A. & Jakovljević, V. 2021. A new integrated grey MCDM model: case of warehouse location selection. Facta Universitatis, Series: Mechanical Engineering, 19(3), pp.515-535. Available at: https://doi.org/10.22190/FUME210424060U

-Weaponsystem.net. 2021. TMM, Tyazhelyy Mekhanizirovannyy Most [online]. Available at:  https://development.weaponsystems.net/system/1276-CC06%20-%20TMM [Accessed: 20.12.2021].

Xu, Y., Li, H. & Lyu, M. 2021. Research on the location problem of unmanned border and coastal air defense anti-aircraft gun. In: 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China, pp.339-343, March 12-14. Available at:  https://doi.org/10.1109/IAEAC50856.2021.9390701

Yücenur, G.N. & Ipekçi, A. 2021. SWARA/WASPAS Methods for a Marine Current Energy Plant Location Selection Problem. Renewable Energy, 163, pp.1287-1298. Available at:  https://doi.org/10.1016/j.renene.2020.08.131

Zulqarnain, R.M., Siddique, I., Ali, R., Pamučar, D., Marinković, D. & Bozanic, D. 2021. Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem. Entropy, 23(6), art.ID:688. Available at: https://doi.org/10.3390/e23060688

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