Details

Title

Enhancing waste management forecasting in Taiwan with the nonlinear gray Bernoulli model and genetic algorithms

Journal title

Archives of Environmental Protection

Yearbook

2025

Volume

51

Issue

4

Authors

Affiliation

Tseng, Shih-Hsien : National Taiwan University of Science and Technology, Taiwan ; Wu, Ying-Ling : National Taiwan University of Science and Technology, Taiwan ; Duong, Thi Ha Trang : National Taiwan University of Science and Technology, Taiwan

Keywords

waste management, ; gray theory, ; Bernoulli model, ; genetic algorithm, ; indifference zone

Divisions of PAS

Nauki Techniczne

Coverage

18-26

Publisher

Polish Academy of Sciences

Bibliography

  1. Adewuyi, A. Y., Adebayo, K. B., Adebayo, D., Kalinzi, J. M., Ugiagbe, U. O., Ogunruku, O. O., Samson, O. A. & Richard, O. (2024). Application of big data analytics to forecast future waste trends and inform sustainable planning. World Journal of Advanced Research and Reviews, 23(1), 2469-2479.
  2. Adu, T. F., Mensah, L. D., Rockson, M. A. D. & Kemausuor, F. (2025). Forecasting municipal solid waste generation and composition using machine learning and GIS techniques: A case study of Cape Coast, Ghana. Cleaner Waste Systems, 10, 100218. DOI:10.1016/j.clwas.2025.100218
  3. Cadini, F., Zio, E. & Petrescu, C. A. (2010). Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms. Reliability Engineering & System Safety, 95(3), 173-181. DOI:10.1016/j.ress.2009.09.007
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  5. Chen, C.-I., Chen, H. L. & Chen, S.-P. (2008). Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1,1). Communications in Nonlinear Science and Numerical Simulation, 13(6), 1194-1204. DOI:10.1016/j.cnsns.2006.08.008
  6. Chen, M.-H. (2020). Analysis of the amount of garbage generated and population structure in Taiwan's counties and cities [Master’s thesis, National Central University].
  7. Deng, J. (1989). Introduction to grey system theory. The Journal of grey system, 1(1), 1-24.
  8. Evans, M. (2014). An alternative approach to estimating the parameters of a generalised Grey Verhulst model: An application to steel intensity of use in the UK. Expert Systems with Applications, 41(4), 1236-1244. DOI:10.1016/j.eswa.2013.08.006
  9. Huang, Y., Lan, Y., Thomson, S. J., Fang, A., Hoffmann, W. C. & Lacey, R. E. (2010). Development of soft computing and applications in agricultural and biological engineering. Computers and Electronics in Agriculture, 71(2), 107-127. DOI:10.1016/j.compag.2010.01.001
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  11. Ke, Y.-P. (2022). Combination and Selection of Waste Treatment Methods for Local Governments in Consideration of Carbon Reduction [Master’s thesis, National Taiwan University].
  12. Konyalıoğlu, A. K., Ozcan, T. & Bereketli, I. (2025). Forecasting medical waste in Istanbul using a novel nonlinear grey Bernoulli model optimized by firefly algorithm. Waste Management & Research, 43(5), 726-737. DOI:10.1177/0734242x241271065
  13. Lin, W.-C. (2012). The Feasibility Research of Gray Theory on Retailer's Sales Forecasting Improvement in ST Company [Master’s thesis, National Yang Ming Chiao Tung University].
  14. Oroye, O. A., Akintade, J. V. & Oroye, B. E. (2024, 26-28 Nov. 2024). Waste Generation Forecast and Prediction Analysis using Exponential Smoothing Model. 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON),
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Date

9.12.2025

Type

Article

Publication type

Article

Identifier

DOI: 10.24425/aep.2025.157225

DOI

10.24425/aep.2025.157225

Pages

18-26

Abstracting & Indexing

Abstracting & Indexing


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