Study On the Stability of Agroecosystems Based on System Dynamics, ISM, And TOPSIS Models
DOI:
https://doi.org/10.54097/v3cbeg08Keywords:
System dynamics; interpretive structural model (ISM); TOPSIS; model integration; dynamic simulation.Abstract
This study proposes an integrated modeling framework combining system dynamics, the Explanatory Structural Model (ISM), and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to analyze complex system interactions and optimize strategy evaluation. A system dynamics model is constructed to simulate population dynamics of multiple species under varying climate scenarios, using differential equations and the Runge-Kutta algorithm for dynamic solving. ISM is applied to establish a hierarchical structure of key parameters, enhancing model interpretability. TOPSIS quantitatively compares multi-scenario outcomes to identify optimal strategies. Simulation results validate the framework’s robustness: biological control scenarios outperform chemical ones in long-term stability, with sensitivity analyses confirming model reliability. This integrated approach provides a quantitative tool for dynamic system analysis and strategy optimization.
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[1] Hossein Shakiba, Seyed Delangizan, Yousef Mohamadifar. Modeling and strategic analysis of inclusive urban entrepreneurial ecosystem using game theory approach (case of study: Kermanshah City). Iranian Journal of Improvement Management, vol. 14, pp.8 121-148, January 2020.
[2] Cosme, M., Thomas, C., Gaucherel, C. On the History of Ecosystem Dynamical Modeling: The Rise and Promises of Qualitative Models. Entropy, vol. 25, pp.3 15-26, November 2023.
[3] Vilda Vitunskien, Lina Lauraitien. Green Growth in Agriculture: Long-Term Evidence from European Union Countries. Sustainability, vol. 17, pp.2 10-11, February 2025.
[4] Singh, R., Kumari, T., Verma, P., Singh, B. P., Raghubanshi, A. S. Compatible package-based agriculture systems: an urgent need for agro-ecological balance and climate change adaptation. Soil Ecology Letters, vol. 4, pp.6 187-212, August 2022.
[5] Adisa, O., Ilugbusi, B. S., Adewunmi, O., Franca, O., Ndubuisi, L. A comprehensive review of redefining agricultural economics for sustainable development: Overcoming challenges and seizing opportunities in a changing world. World Journal of Advanced Research and Reviews, vol. 21, pp.9 2329-2341, January 2024.
[6] Rai, A. K., Bana, S. R., Sachan, D. S., Singh, B. Advancing sustainable agriculture: a comprehensive review for optimizing food production and environmental conservation. Int. J. Plant Soil Sci, vol. 35, pp. 5 417-425, August 2023.
[7] Oguanobi, V. U., Joel, O. T. Geoscientific research's influence on renewable energy policies and ecological balancing. Open Access Research Journal of Multidisciplinary Studies, vol. 7, pp. 4 073-085, February 2024.
[8] Francis, A., Thomas, A. System dynamics modelling coupled with multi-criteria decision-making (MCDM) for sustainability-related policy analysis and decision-making in the built environment. Smart and Sustainable Built Environment, vol. 12, no. 3, pp. 534-564, 2023.
[9] Seifi, N., Keshavarz, M., Kalhor, H., Shahrakipour, S., Adibifar, A. Ranking of criteria affecting the implementation readiness of internet of things in industries using TISM and fuzzy TOPSIS analysis. Journal of Operations Intelligence, vol. 3, no. 1, pp. 46-66, 2025.
[10] Kumar, R., Paikaray, B. K., Nandini, G., Jena, S. P., Damodharan, V. S. Simulation-based modelling of circular economy challenges in the food industry: an ISM approach for process optimisation and sustainability. International Journal of Simulation and Process Modelling, vol. 21, no. 4, pp. 294-304, 2024.
[11] Primadasa, R., Kusrini, E., Mansur, A., Masudin, I. Examining dynamic capability–sustainable SCM performance indicators in SMEs using MARCOS-ISM-MICMAC. Process Integration and Optimization for Sustainability, vol. 9, no. 1, pp. 145-165, 2025.
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