An evaluation of sustainable development levels in cities using multi-criteria decision-making methods: a case study of three major Vietnamese cities | International Journal for Simulation and Multidisciplinary Design Optimization (IJSMDO)

Recent Advances in Hyperparameter Tuning for Machine Learning Models

Open Access

Issue		Int. J. Simul. Multidisci. Des. Optim. Volume 17, 2026 Recent Advances in Hyperparameter Tuning for Machine Learning Models


Article Number		6
Number of page(s)		25
DOI		https://doi.org/10.1051/smdo/2026001
Published online		17 March 2026

G.H. Brundtland, Our Common Future: World Commission on Environment and Development (Oxford University Press, 1987). [Google Scholar]
N.H. Zardari et al., Weighting Methods and Their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management (Springer, 2014). https://doi.org/10.1007/978-3-319-12586-2 [Google Scholar]
H.-K. Chiou, G.-H. Tzeng and D.-C. Cheng, Evaluating sustainable fishing development strategies using fuzzy MCDM approach, Omega 33, 223–234 (2005) [Google Scholar]
M. Stojčić et al., Application of MCDM methods in sustainability engineering: a literature review 2008–2018, Symmetry 11, 350 (2019) [CrossRef] [Google Scholar]
A. Londoño-Pineda, J.A. Cano, R. Gómez-Montoya, Application of AHP for the weighting of sustainable development indicators at the subnational level, Economies 9, 169 (2021) [Google Scholar]
T.H.G. Tran, L. Dupont, M. Camargo, Application of decision-making methods in smart city projects: a systematic literature review, Smart Cities 2, 433–452 (2019) [Google Scholar]
T.L. Saaty, The analytic hierarchy process (AHP), J. Oper. Res. Soc. 41, 1073–1076 (1980) [Google Scholar]
K. Yoon, C.-L. Hwang, Manufacturing plant location analysis by multiple attribute decision making: Part I—single-plant strategy, International Journal of Prod. Res. 23, 345–359 (1985) [Google Scholar]
J.M. Benitez, J.C. Martín, C. Román, Using fuzzy number for measuring quality of service in the hotel industry, Tourism Manag. 28, 544–555 (2007) [Google Scholar]
R. Karim C. Karmaker, Machine selection by AHP and TOPSIS methods, Am. J. Ind. Eng. 4, 7–13 (2016) [Google Scholar]
R. Benayoun, B. Roy, N. Sussman, Manual de référence du programme ELECTRE, Note de Synthèse et Formation, no. 25 (1966). [Google Scholar]
O. Senvar, G. Tuzkaya, C. Kahraman, Multi criteria supplier selection using fuzzy PROMETHEE method, in: Supply Chain Management under Fuzziness: Recent Developments and Techniques, Springer, 2014, pp. 21–34. https://doi.org/10.1007/978-3-642-53939-8_2 [Google Scholar]
J.-P. Brans, R. Nadeau, M. Landry, L’ingénierie de la décision. Élaboration d’instruments d’aide à la décision. La méthode PROMETHEE, in l’Aide à la Décision: Nature, Instruments et Perspectives d’Avenir (1982, pp. 183–213) [Google Scholar]
S. Garcia-Ayllon, E. Hontoria, N. Munier, The contribution of MCDM to SUMP: the case of Spanish cities during 2006–2021, Int. J. Environ. Res. Public Health, 19, 294 (2022) [Google Scholar]
C. D’Alpaos, F. Andreolli, Urban quality in the city of the future: a bibliometric multicriteria assessment model, Ecol. Indic., 117, 106575 (2020) [Google Scholar]
A.C.L. Almeida, Multi actor multi criteria analysis (MAMCA) as a tool to build indicators and localize sustainable development goal 11 in Brazilian municipalities, Heliyon, 5, e02128 (2019). https://doi.org/10.1016/j.heliyon.2019.e02128 [Google Scholar]
General Statistics Office of Viet Nam (GSO), Statistical Yearbook of Viet Nam (2024). https://www.nso.gov.vn/ [Google Scholar]
General Statistics Office of Viet Nam (GSO), Statistical Yearbook of Viet Nam (2023). https://www.nso.gov.vn/ [Google Scholar]
General Statistics Office of Viet Nam (GSO), Statistical Yearbook of Viet Nam (2022). https://www.nso.gov.vn/ [Google Scholar]
General Statistics Office of Viet Nam (GSO), Statistical Yearbook of Viet Nam (2021). https://www.nso.gov.vn/ [Google Scholar]
General Statistics Office of Viet Nam (GSO), Statistical Yearbook of Viet Nam (2020). https://www.nso.gov.vn/ [Google Scholar]

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