DEMATEL-AHP multi-criteria decision making model for the selection and evaluation of criteria for selecting an aircraft for the protection of air traffic
DOI:
https://doi.org/10.31181/dmame1802091pKeywords:
Aircraft; Air Traffic; Attribute; Criterion; Consistency; ProtectionAbstract
This paper describes an approach in the selection and evaluation of the criteria and attributes of criteria for selecting the air traffic protection aircraft. After collected initial criteria and attributes, the interaction between criteria and attributes of criteria for the selection of the aircraft especially for the protection of air traffic was evaluated by 45 respondents. Data processing and criteria and attributes selection were carried out by the DEMATEL method (by eliminating less significant criteria and attributes). Furthermore, the weight values of each criterion and attribute were determined by the AHP method. Prioritization was carried out using an eigenvector method. For determination reliability the consistency ratio was checked for each result. As a result the model for the selection of the aircraft was proposed.
Downloads
References
Abbass, H. A., Tang, J., Amin, R., Ellejmi, M., & Kirby, S. (2014). Augmented cognition using real-time EEG-based adaptive strategies for air traffic control. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 58, No. 1, pp. 230-234). Sage CA: Los Angeles, CA: SAGE Publications.
Chen, J., Chen, L., & Sun, D. (2017). Air traffic flow management under uncertainty using chance-constrained optimization. Transportation Research Part B: Methodological, 102, 124-141. doi.org/10.1016/j.trb.2017.05.014
Čokorilo, O., Gvozdenović, S., Mirosavljević, P., & Vasov, L. (2010). Multi Attribute Decision Making: Assessing the Technological and Operational Parameters of an Aircraft. Transport, 25 (4), 352-356. doi.org/10.3846/transport.2010.43
Dağdeviren, M., Yavuz, S., & Kılınç, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert systems with applications, 36(4), 8143-8151. doi.elsevier.com/locate/eswa doi:org/10.1016/j.arcontrol.2016.09.012
Durso, F. T., & Manning, C. A. (2008). Air traffic control. Reviews of human factors and ergonomics, 4(1), 195-244. doi: org/10.1518/155723408X342853
Gordić, M., & Petrović, I. (2014). Raketni sistemi u odbrani malih država. Beograd: MC Odbrana. [in Serbian]
Kirby, M. R. A. (2001). Methodology for Technology Identification, Evaluation, and Selection in Conceptual and Preliminary Aircraft Design. Atlanta: Georgia Institute of Technology.
Mavris, D., & DeLaurentis, D. (1995). An Integrated Approach to Military Aircraft Selection and Concept Evaluation. The 1st AIAA Aircraft Engineering, Technology, and Operations Congress, Los Angeles, (1-11). American Institute of Aeronautics and Astronautics
Menon, P. K., Sweriduk, G. D., & Bilimoria, K. D. (2004). New approach for modeling, analysis, and control of air traffic flow. Journal of guidance, control, and dynamics, 27(5), 737-744. doi: org/10.2514/1.2556
Menon, P. K., & Park, S. G. (2016). Dynamics and control technologies in air traffic management. Annual Reviews in Control, 42, 271-284. doi.org/10.1016/j.arcontrol.2016.09.012
Moghaddam, N. B., Sahafzadeh, M., Alavijeh, A. S., Yousefdehi, H., & Hosseini, S. H. (2010). Strategic Environment Analysis Using DEMATEL Method Thorogh Systematic Approach: Case Study of Energy Research Institute in Iran. Management Science and Engineering, 4(4), 95-105
Pamučar, D. (2017). Operaciona istraživanja. Beograd: Rabek. [in Serbian]
Pamučar, D., Petrović, I., & Cirović, G. (2018). Modification of the Best-Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers. Expert Systems with Applications, 91, 89-106. doi.org/10.1016/j.eswa.2017.08.042
Petrović, D., Cvetković, I., Kankaraš, M., & Kapor N. (2017). Objective Technology Selection Model: the Example of complex combat systems. International Journal of Scientific & Engineering Research, 8(3), 105 – 114.
Petrović, I. (2013) Konceptualni model sistema protivvazduhoplovne odbrane Vojske Srbije. Beograd: Univerzitet odbrane. [unpublished doctoral dissertation] [in Serbian]
Petrović, I., Kankaraš, M., & Cvetković K. (2015). Significance and Prospects of the Development of Defence System. Vojno delo 67 (6), 86-98. doi: 10.5937/vojdelo1506086P
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
Sizong, G., & Tao, S. (2016). Interval-Valued Fuzzy Number and Its Expression Based on Structured Element, Advances in Intelligent and Soft Computing, 62, 1417-1425.
Steiner, S., Mihetec, T., & Božičević, A. (2010). Prospects of Air Traffic Management in South Eastern Europe. Promet – Traffic & Transportation, 22(4), 293-302. doi.org/10.7307/ptt.v22i4.194
Sumrit, D., & Anuntavoranich, P. (2013). Using DEMATEL Method to Analyze the Casual Relations on Technological Innovation Capability Evaluation Factors in Thai Technology-Based Firms. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 4(2), 81-103.
Vahdani, B., Tavakkoli-Moghaddam, R., Mousavi, S. M., & Ghodratnama, A. (2013). Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method. Applied Soft Computing, 13(1), 165-172. doi.org/10.1016/j.asoc.2012.08.020
Vlačić, S. (2012). Definisanje kriterijuma za izbor višenamenskog borbenog aviona za potrebe Vazduhoplovstva i protivvazduhoplovne odbrane Vojske Srbije. Beograd: Univerzitet odbrane. [unpublished doctoral dissertation] [in Serbian]
Zywica, P., Stachowiak, A., & Wygralak, M. (2016). An algorithmic study of relative cardinalities for interval-valued fuzzy sets. Fuzzy Sets and Systems, 294, 105–124. doi.org/10.1016/j.fss.2015.11.007
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Decision Making: Applications in Management and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.
