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Outline
In view of the optimal selection of mining methods in underground metal mines, a game theory-subjective and objective multi-attribute combined weighting model was constructed. Taking the optimal selection of mining methods at the Sijiaying Iron Mine as an example, under the criteria of environment, economy, technology, and safety, 11 indicators closely related to mining methods were selected. The improved analytic hierarchy process (AHP) and CRITIC methods were used to determine the subjective and objective weights of each indicator, respectively. By applying game theory, the subjective and objective weights were integrated to obtain the comprehensive weights for all indicators, providing a basis for the selection of mining methods. The game theory-subjective and objective multi-attribute combined weighting model was used for optimal selection between two alternative mining methods. The comprehensive membership degree of the sub-level open stoping method with subsequent filling is 0.711, while that of the block caving method with subsequent filling is 0.692, with the former being chosen as the optimal scheme. The research results can offer a beneficial reference for decision-making in mining method optimization.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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