@revista_internacional{958,
  keywords = {Sustainable mining, process technology, interval rough number, multi-criteria decision making, Heronian and Power Averaging},
  author = {Dragan Pamucar and Muhammet Deveci and Ilgin Gokasar and Pablo R. Brito-Parada and Luis Martínez},
  title = {Evaluation of Process Technologies for Sustainable Mining Using Interval Rough Number Based Heronian and Power Averaging Functions},
  abstract = {The mining sector is vital for the world s economy and provides an important source of wealth for various countries. The mines of the future must adhere to sustainable principles, which rely on applying the right technologies. This study evaluates various alternatives for choosing the best process technology, for sustainable mining, by using an interval rough decision-making model, considering four main criteria (cost, efficiency, environmental, and social) and fifteen sub-criteria. The interval rough approach was used to treat uncertainty and imprecision in information, which enabled objective processing of uncertainty in information. A novel approach that makes use of hybrid Heronian and Power Averaging (HPA) functions based on interval rough number is developed to assess different process technologies for sustainable mining. Nonlinear interval rough HPA functions were used to see the criteria s mutual influence and eliminate the impact of extreme and unreasonable arguments in the initial decision matrix. A case study is used to illustrate the feasibility of the proposed model and a sensitivity analysis is conducted to examine the effects of criteria weights in ranking. The results show that the proposed methodology is a powerful tool for objective decision-making.},
  year = {2024},
  journal = {Knowledge-Based Systems},
  volume = {289},
  pages = {111494},
  issn = {0950-7051},
  url = {https://www.sciencedirect.com/science/article/pii/S0950705124001291},
  doi = {https://doi.org/10.1016/j.knosys.2024.111494},
}