Multi-criteria model for selection of optical linear terminals based on FUZZY TOPSIS method
Abstract
Keywords
Full Text:
PDFReferences
Marom, D. M., Miyamoto, Y., Neilson, D. T., & Tomkos, I. Optical Switching in Future Fiber-Optic Networks Utilizing Spectral and Spatial Degrees of Freedom. Proceedings of the IEEE, 2022, vol. 110, no. 11, pp.1835-1852. DOI: 10.1109/JPROC.2022.3207576.
Hall, M. N., Foerster, K., Schmid, S., & Durairajan, R. A Survey of Reconfigurable Optical Networks. Optical Switching and Networking, 2021, vol. 41, 100621. DOI: 10.1016/j.osn.2021.100621.
Ullah, R., Ullah, S., Almadhor, A., Alwageed, H. S., Al-Atawi, A. A., Ren, J., & Chen, S. A High-Capacity Optical Metro Access Network: Efficiently Recovering Fiber Failures with Robust Switching and Centralized Optical Line Terminal. Sensors, 2024, vol. 24, iss. 4, article no. 1074. DOI: 10.3390/s24041074.
Kacprzak, D. Podwójna rozmyta metoda TOPSIS wspomagająca podejmowanie decyzji grupowych [Dual fuzzy TOPSIS method supporting group decision making]. Przegląd statystyczny – Statistical review, 2019, vol. LXVI, no. 1, pp. 27-50. DOI: 10.5604/01.3001.0013.8363 (In Polish).
Zhanasbayeva, A., Tokhmetov, A., Amirova, A. Methods for substantiating decisions on the choice of the composition of telecommunications equipment. Journal of Theoretical and Applied Information Technology, 2021, vol. 99, no 22, pp. 5582-5591. Available at: http://www.jatit.org/volumes/Vol99No22/31Vol99No22.pdf (accessed 12.12.2023).
Bezruk, V., Chebotareva, D., & Skoryk, Y. Multicriteria selection of the optimal design options of telecommunication facilities. IAPGOS, 2018, no. 4, pp. 16–19. DOI: 10.5604/01.3001.0012.8014.
Melnikova, L. I., Linnyk, O. V., Kryvoshapka, N. V., & Barsuk V. A. Zastosuvannia evrystychnoi protsedury bahatokryterialnoi optymizatsii do vyboru varianta movnoho kodeku v IP-merezhi [Application of the European procedure of multi-criteria optimization to the choice of the language codec option in the IP network]. Problemy telekomunikatsii, 2020, no. 1 (26), pp. 23-32. DOI: 10.30837/pt.2020.1.02. (In Ukrainian).
Gayvoronska, G., & Rybalov, B. Zadacha vybora kommutatsionnogo elementa dlya opticheskoy telekommunikatsionnoy seti [Problem of choice of switching element for optical telecommunication network]. International Journal «Information Models and Analyses», 2016, vol. 5, iss. 1, pp. 78-99. (In Russian). Available at: http://www.foibg.com/ijima/vol05/ijima-fv5-vol5.htm (accessed 12.12.2023).
Kolisnyk, M. Vulnerability analysis and method of selection of communication protocols for information transfer in internet of things systems. Radioelektronni i komp'uterni sistemi – Radioelectronic and computer systems, 2021, no. 1(97), pp. 133-149. DOI: 10.32620/reks.2021.1.12.
Pidchenko, S., Kucheruk, O., Pyvovar, O., Stetsiuk, V., & Mishan, V. A multi-criteria approach to decision-making in telecommunication network components selection. Radioelektronni i komp'uterni sistemi – Radioelectronic and computer systems, 2023, no. 1(105), pp. 155-165. DOI: 10.32620/reks.2023.1.13.
Tubis, A., & Werbińska-Wojciechowska, S. Fuzzy TOPSIS in selecting logistic handling operator: case study from Poland. Transport, 2023, no. 38, iss. 1, pp. 12–30. DOI: 10.3846/transport.2023.17074.
Antucheviciene, J., Kala, Z., Marzouk, M., & Vaidogas, E. R. Solving Civil Engineering Problems by Means of Fuzzy and Stochastic MCDM Methods: Current State and Future Research. Mathematical Problems in Engineering, 2015, vol. 2015, article no. 362579. DOI: 10.1155/2015/362579.
Petrović, G., Mihajlović, J., Ćojbašić, Ž., Madić, M., & Marinković, D. Comparison of three fuzzy mcdm methods for solving the supplier selection problem. Facta universitatis Series: Mechanical Engineering, 2019, vol. 17, no. 3, pp. 455-469. DOI: 10.22190/FUME190420039P.
Nãdãban, S., Dzitac, S., & Dzitac, I. Fuzzy TOPSIS: A General View. Procedia Computer Science, 2016, no. 91, pp. 823-831. DOI: 10.1016/j.procs.2016.07.088.
Halicka, K. Technology Selection Using the TOPSIS Method. Foresight and STI Governance, 2020, vol. 14, no. 1, pp. 85-96. DOI: 10.17323/2500-2597.2020.1.85.96.
Pidchenko, S., Kucheruk, O., & Pyvovar, O. Vybir telekomunikatsiinoho obladnannia v systemakh peredachi movnykh povidomlen [Selection of telecommunication equipment in voice message transmission systems]. Visnyk Khmelnytskoho natsionalnoho universytetu. Seriia: Tekhnichni nauky – Herald of Khmelnytskyi national university, Technical sciences, 2023, Vol.5(327), Part 2, pp. 192-199. DOI: 10.31891/2307-5732-2023-327-5-192-199. (In Ukrainian).
Sun, H., Zhang, B., & Ni, W. A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection. Mathematics, 2022, no. 10, article no. 3505. DOI: 10.3390/math10193505.
Salimov, V. H. O. Application of TOPSIS Method with Trapezoidal Fuzzy Numbers. Science Review, 2021, no. 1(36). DOI: 10.31435/rsglobal_sr/30012021/7377.
Aliyeva, K. Multifactor Personnel Selection by the Fuzzy TOPSIS Method. 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. Advances in Intelligent Systems and Computing, 2019, vol. 896, pp. 478-483. DOI: 10.1007/978-3-030-04164-9_64.
Jefmański, B. Rozmyta metoda TOPSIS jako narzędzie identyfikacji determinant jakości usług i produktów [The fuzzy TOPSIS method as a tool for identifying determinants of the quality of services and products]. Handel wewnętrzny – Internal trade, 2013, no. 5(346), pp. 28-41. Available at: http://cejsh.icm.edu.pl/cejsh/element/bwmeta1.element.desklight-61006eb1-8df7-4f2b-b15f-85dd6191301f (accessed 12.12.2023) (In Polish).
Alojaiman, B. A Multi-Criteria Decision-Making Process for the Selection of an Efficient and Reliable IoT Application. Processes, 2023, no. 11, article no. 1313. DOI: 10.3390/pr11051313.
Zulqarnain, M., & Dayan, F. Choose Best Criteria for Decision Making Via Fuzzy Topsis Method. Mathematics and Computer Science, 2017, no. 2(6), pp. 113-119. DOI: 10.11648/j.mcs.20170206.14.
DOI: https://doi.org/10.32620/reks.2024.1.06
Refbacks
- There are currently no refbacks.
