期刊
MATHEMATICS
卷 7, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/math7090788
关键词
hesitant fuzzy sets (HFSs); qualitative flexible (QUALIFLEX); Organisation; rangement et synthese de donnees relationnelles (ORESTE); green mine; performance evaluation
类别
资金
- National Key Research and Development Program of China [2018YFC0604606]
- National Natural Science Foundation of China [51774321, 51804163]
- China Postdoctoral Science Foundation [2018M642678]
- Hunan Province Engineering Research Center of Radioactive Control Technology in Uranium Mining and Metallurgy, University of South China [2019YKZX2003]
- Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment Technology, University of South China [2019YKZX2003]
Due to various environmental issues caused by resource exploitation, establishing green mines is an essential measure to realize sustainable growth for mining companies. This research aimed to develop a novel methodology to evaluate the performance of green mines within hesitant fuzzy conditions. First, hesitant fuzzy sets (HFSs) were used to express original fuzzy assessment values. Then, the extended expert grading approach and the modified maximum deviation method with HFNs were combined to determine comprehensive importance degrees of criteria. Afterward, the traditional qualitative flexible (QUALIFLEX) method was integrated with the Organisation, rangement et synthese de donnees relationnelles (ORESTE) model to achieve the rankings of mines. Finally, the proposed hesitant fuzzy ORESTE-QUALIFLEX approach was utilized to evaluate the performance of green mines. In addition, the robustness of the method was verified by a sensitivity analysis, while the effectiveness and strengths were certified by a comparison analysis. The results indicate that the proposed methodology has great robustness and advantages and that it is feasible and effective for the performance evaluation of green mines under hesitant fuzzy environment.
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