[2]. Ali, P. O., & Kim, K. N. (2024). Analysis of Indonesia’s priority selection: Energy transition, energy-related measures, mining governance, and resource transition using the analytic hierarchy process (AHP).
Energy for Sustainable Development, 83, 101559.
https://doi.org/10.1016/j.esd.2024.101559
[3]. Azadi, M., Northey, S., Hasanpour, H., & de Vries, G. (2018). Sustainability assessment of mining projects: An evaluation of regulations, policies, and practices.
Resources Policy, 59, 230–238.
https://doi.org/10.1016/j.exis.2017.12.004
[6]. Buslaeva, I., & Yakovleva, L. (2022). Block matrix for three-factor analysis of machinery failures. In A. Mottaeva (Ed.),
Technological advancements in construction (pp. 303–312). Springer.
https://doi.org/10.1007/978-3-030-83917-8_28
[7]. Butcher, J. C. (2015). Algebraic analysis of structure-preserving general linear methods. *Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014)*, 020003.
https://doi.org/10.1063/1.4912307
[9]. Cao, J., et al. (2024). Fuzzy inference system with interpretable fuzzy rules: Advancing explainable artificial intelligence for disease diagnosis—A comprehensive review.
Information Sciences, 662, 120212.
https://doi.org/10.1016/j.ins.2024.120212
[10]. Cavus, N., Mohammed, Y. B., & Yakubu, M. N. (2021). Determinants of learning management systems during COVID-19 pandemic for sustainable education.
Sustainability, 13(9), 5189.
https://doi.org/10.3390/su13095189
[11]. Cole, M. J., & Broadhurst, J. L. (2022). Sustainable development in mining communities: The case of South Africa’s West Wits Goldfield.
Frontiers in Sustainable Cities, 4.
https://doi.org/10.3389/frsc.2022.895760
[12]. Dall-Orsoletta, A., et al. (2025). How does social acceptance affect transition minerals production in Europe? A system dynamics approach and case study in Portugal.
The Extractive Industries and Society, 22, 101625.
https://doi.org/10.1016/j.exis.2025.101625
[14]. Domínguez-Gómez, J. A., & González-Gómez, T. (2021). Governance in mining: Management, ethics, sustainability and efficiency.
The Extractive Industries and Society, 8(3), 100910.
https://doi.org/10.1016/j.exis.2021.100910
[16]. Essaw, D. W., et al. (2025). Governance for sustainable sand mining in two selected local government areas in the Central Region of Ghana.
Society & Natural Resources, 38(4), 394–413.
https://doi.org/10.1080/08941920.2023.2169799
[18]. Guan, X., & Zhao, J. (2022). A two-step fuzzy MCDM method for implementation of sustainable precision manufacturing: Evidence from China.
Sustainability, 14(13), 8085.
https://doi.org/10.3390/su14138085
[19]. Hamediazad, F., & Bahrani, N. (2024). Evaluation of the rock mass strength for hard rock pillar design using bonded block models.
Rock Mechanics and Rock Engineering, 57(5), 3659–3680.
https://doi.org/10.1007/s00603-023-03718-0
[21]. Hodgkinson, J. H., & Smith, M. H. (2021). Climate change and sustainability as drivers for the next mining and metals boom: The need for climate-smart mining and recycling.
Resources Policy, 74, 101205.
https://doi.org/10.1016/j.resourpol.2018.05.016
[22]. Jiskani, I. M., et al. (2022). Implications to secure mineral supply for clean energy technologies for developing countries: A fuzzy based risk analysis for mining projects.
Journal of Cleaner Production, 358, 132055.
https://doi.org/10.1016/j.jclepro.2022.132055
[23]. Jiskani, I. M., et al. (2023). Mining 4.0 and climate neutrality: A unified and reliable decision system for safe, intelligent, and green & climate-smart mining.
Journal of Cleaner Production, 410, 137313.
https://doi.org/10.1016/j.jclepro.2023.137313
[24]. Karatzinis, G. D., & Boutalis, Y. S. (2025). A review study of fuzzy cognitive maps in engineering: Applications, insights, and future directions.
Eng, 6(2), 37.
https://doi.org/10.3390/eng6020037
[25]. Lejun, G., et al. (2025). SeqBMC: Single-cell data processing using iterative block matrix completion algorithm based on matrix factorisation.
IET Systems Biology, 19(1), e70003.
https://doi.org/10.1049/syb2.70003
[26]. Li, G., et al. (2021). A review from environmental management to environmental governance: A paradigm shift for sustainable mining practice in Ghana.
Environment, Development and Sustainability, 23(7), 9710–9724.
https://doi.org/10.1007/s10668-020-01050-z
[27]. Odell, S. D., Bebbington, A., & Frey, K. E. (2018). Mining and climate change: A review and framework for analysis.
The Extractive Industries and Society, 5(1), 201–214.
https://doi.org/10.1016/j.exis.2017.12.004
[28]. Paul, A., & Mahapatra, S. S. (2025). An integrated fuzzy-AHP and fuzzy-DEMATEL approach for analyzing sustainable supply chain factors in the mining industry.
Supply Chain Analytics, 10, 100113.
https://doi.org/10.1016/j.sca.2025.100113
[30]. Salmeri, A. (2023). The multi-level governance of space mining. Wolters Kluwer.
[31]. Sarkheil, H. (2024). Dynamic system analysis of key indicators for climate-resilient smart mining within a sustainable governance framework: A focus on the cobalt value chain.
SSRN.
https://ssrn.com/abstract=5189964
[32]. Sarkheil, H., & Sadeghy Nejad, A. (n.d.). Hazard identification and process risk assessment at the building stone processing company through combination of EFMEA & William Fine methods.
ResearchGate.
https://www.researchgate.net/publication/384920229
[33]. Sarkheil, H., Alghasi, S., & Sadeghy Nejad, A. (2024). Modeling coastal environmental risk assessment: A case study of installing three filtration bases in a deep sea mining structure.
Journal of Mining and Environment.
https://doi.org/10.22044/jme.2024.14304.2673
[34]. Sarkheil, H., Rahbari, S., & Lak, R. (2024). A novel fuzzy deep groundwater sustainability index FDGSI for climate-smart mining and sustainability-aimed governance.
SSRN.
https://doi.org/10.2139/ssrn.4776925
[35]. Saqlain, M., Kumam, P., & Kumam, W. (2024). Multi-criteria decision-making method based on weighted and geometric aggregate operators of linguistic fuzzy-valued hypersoft set with application.
Journal of Fuzzy Extension and Applications.
https://doi.org/10.22105/jfea.2024.475488.1609
[36]. Shamsi, M., Zakerinejad, M., & Zareifard, M. R. (2025). Optimal, reliable, and sustainable technology selection for mining overburden waste utilization using green & climate-smart mining (GCSM): A hybrid fuzzy multi-criteria decision-making tool.
Journal of Environmental Chemical Engineering, 13(3), 116118.
https://doi.org/10.1016/j.jece.2025.116118
[38]. Sonter, L. J., Ali, S. H., & Watson, J. E. M. (2018). Mining and biodiversity: Key issues and research needs in conservation science.
Proceedings of the Royal Society B: Biological Sciences, 285(1892), 20181926.
https://doi.org/10.1098/rspb.2018.1926
[39]. Stewart, G. W. (2001). Matrix algorithms: Volume II: Eigensystems. Society for Industrial and Applied Mathematics.
[40]. Wang, P., et al. (2025). Complex modal analysis of a resilient supported conveyor belt: Enhancement of numerical stability by reduced complex transfer matrix method.
Journal of Vibration Engineering & Technologies, 13(2), 192.
https://doi.org/10.1007/s42417-024-01611-w
[41]. Wang, Y., et al. (2023). Cascading impacts of global metal mining on climate change and human health caused by COVID-19 pandemic.
Resources, Conservation and Recycling, 190, 106800.
https://doi.org/10.1016/j.resconrec.2022.106800
[42]. World Bank. (2020). Minerals for climate action: The mineral intensity of the clean energy transition. World Bank.
[44]. Zamany, A., Khamseh, A., & Iranbanfard, S. (2024). Unveiling the landscape of high-tech transfer in Industry 5.0: A text mining exploration.
Journal of AI and Data Mining, 12(3).
https://doi.org/10.22044/jadm.2024.14580.2558
[45]. Zhang, Y., Yuan, X., & Wang, K. (2025). Small-signal stability criterion for multibus DC cascaded system based on bus admittance matrix.
IEEE Transactions on Power Electronics, 40(5), 6442–6447.
https://doi.org/10.1109/TPEL.2025.3529485