Multi-criteria FUCOM – Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge
DOI:
https://doi.org/10.31181/dmame1901132bKeywords:
Fucom, fuzzy MABAC method, single-span Bailey bridge, selection of locationAbstract
Selecting the most favorable location for construction of single-span Bailey bridge is ideal for applying multi-criteria decision making. In that regard, it has been developed a model for selecting the most favorable location. The first part of the model is based on the full consistency method (FUCOM), and it is used for the evaluation of weight coefficients of criteria. The second part of the model presents the fuzzification of the Multi-Attributive Border Approximation Area Comparison (MABAC) method, which is used in the evaluation of alternatives. Additionally, in the paper are presented basic criteria, based on which the selection is to be made
Downloads
References
Božanić, D. (2017). Model podrške odlučivanju pri savlađivanju vodenih prepreka u napadnoj operaciji Kopnene vojske, Belgrade: University of Defense in Belgrade, Military Academy. (In Serbian).
Božanić, D., Kočić, J. & Tešić, D. (2018). Selecting location for construction of single-span Bailey Bridge by applying fuzzy MABAC method. Procedings of The 2nd International Conference on Management, Engineering and Environment, Obrenovac, Serbia, 407-416.
Božanić, D., Pamučar, D. & Karovic, S. (2016a). Use of the fuzzy AHP - MABAC hybrid model in ranking potential locations for preparing laying-up positions. Military Technical Courier, 64, 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.
Chatterjee, P., Mondal, S., Boral, S., Banerjee, A. & Chakraborty, S. (2017). Novel hybrid method for non-traditional machining process selection using factor relationship and Multi-Attributive Border Approximation Method. Facta Universitatis, Series: Mechanical Engineering, 15(3), 439-456.
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.
Hondro, R. K. (2018). MABAC: Pemilihan Penerima Bantuan Rastra Menggunakan Metode Multi- Attributive Border Approximation Area Comparison. Jurnal Mahajana Informasi, 3(1), 41-52.
Hu, J., Chen, P. & Yang, Y. (2019). An Interval Type-2 Fuzzy Similarity-Based MABAC Approach for Patient-Centered Care. Mathematics, 7(2), 140.
Ji, P., Zhang, H. Y., & Wang, J. Q. (2018). Selecting an outsourcing provider based on the combined MABAC–ELECTRE method using single-valued neutrosophic linguistic sets. Computers & Industrial Engineering, 120, 429-441.
Kočić, J. (2017). Izbor lokacije za izradu jednorasponog mosta od Bejli materijala. Belgrade: University of Defense in Belgrade, Military Academy. (In Serbian).
Majchrzycka, A., & Poniszewska-Maranda, A. (2018). Control operation flow for mobile access control with the use of MABAC model. Towards a synergistic combination of research and practice in software engineering, 179-192.
Pamučar, D. (2011). Fuzzy-DEA model for measuring the efficiency of transport quality. Vojnotehnički glasnik/Military Technical Courier, 59(4), 40-61.
Pamučar, D. Božanić, D. & Đorović, B. (2011). Fuzzy logic in decision making process in the Armed forces of Serbia. Saarbrucken: LAMBERT Academic Publishing.
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. & Ranđelović, A. (2017). Multi-criteria decision making: An example of sensitivity analysis. Serbian Journal of Management, 12(1), 1-27.
Pamučar, D., Stević, Ž. & Sremac, S. (2018). A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM) Symmetry, 10, 393.
Peng, X. & Dai, J. (2018). Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function. Neural Computing and Applications, 29(10), 939–954.
Peng, X. & Yang, Y. (2016). Pythagorean Fuzzy Choquet Integral Based MABAC Method for Multiple Attribute Group Decision Making. International Journal of Intelligent Systems, 31, 989-1020.
Pifat, V. (1980). Prelaz preko reka (Only in Serbian), Belgrade: Vojnoizdavački zavod.
Prentkovskis, O., Erceg, Ž., Stević, Ž., Tanackov, I., Vasiljević, M. & Gavranović, M. (2018). A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model. Symmetry, 10, 757.
Rkman, I. (1984). Maskiranje. Belgrade: Vojnoizdavački zavod. (In Serbian).
Roy, A., Ranjan, A., Debnath, A. & Kar, S. (2016). An extended Multi Attributive Border Approximation area Comparison using interval type-2 trapezoidal fuzzy numbers. ArXiv ID: 1607.01254.
Roy, J., Chatterjee, K., Bandhopadhyay, A. & Kar, S. (2017). Evaluation and selection of Medical Tourism sostes: A rough Analytic Hierarchy Process based Multi Attributive Border Approximation area Comparison approach. Expert Systems, e12232.
Seiford, L. M. (1996). The evolution of the state-of-art (1978-1995). Journal of Productivity Analysis, 7, 99-137.
Sharma, H. K., Roy, J., Kar, S., & Prentkovskis, O. (2018). Multi criteria evaluation framework for prioritizing indian railway stations using modified rough ahp-mabac method. Transport and telecommunication journal, 19(2), 113-127.
Slavkovic, R., Talijan, M., & Jelic, M. (2013). Relationship between theory and doctrine of operational art. Security and Defence Quarterly, 1(1), 54-75.
Sun, R., Hu, J., Zhou, J. & Chen, X. (2018). A Hesitant Fuzzy Linguistic Projection – Based MABAC Method for Patients’ Priorizitation. International Journal of Fuzzy Systems, 20(7), 2144-2160.
Xue, Y. X., You, J. X., Lai, X. D. & Liu, H. C. (2016). An interval-valued intuitionistic fuzzy MABAC approach for materila selection with incomplete weight information. Applied Soft Computing, 38, 703-713.
Yu, S. M., Wang, J., & Wang, J. Q. (2017). An interval type-2 fuzzy likelihood-based MABAC approach and its application in selecting hotels on a tourism website. International Journal of Fuzzy Systems, 19, 47-61.
Zoranović, T. & Srđević, B. (2003). Primer primene AHP u grupnom odlučivanju u poljoprivredi. Procedings of the SYM-OP-IS 2003, Herceg Novi, Montenegro, 723-726. (In Serbian).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Decision Making: Applications in Management and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.