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| Mining method optimization based on catastrophe progression method |
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Received:March 12, 2017
Revised:April 04, 2017
Accepted:April 05, 2017
Published Online:December 01, 2017
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| DOI： |
| KeyWord:catastrophe progression method; mining method optimization; fuzzy membership function values; mutations in the series |
| Author | Institution |
| Zhou Li-yun |
Faculty of Land Resources Engineering,Kunming University of Science and Technology |
| CHEN Ri-hui |
Faculty of Land Resources Engineering,Kunming University of Science and Technology |
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| Download times: 6 |
| Abstract: |
| In order to determine the optimal mining method for Aerhada mine, a mining method superior comprehensive degree evaluation model was established using the mutation progression method combined by catastrophe theory and fuzzy mathematics, and consider the aspects affecting the mining method of evaluation index system from safety, production capacity, economic technology. By dimensionless processing and using relative binary comparison method, respectively acquiring fuzzy membership function value of quantitative and the quantitative index. According to the normalized quantitative recursive formula for computing, the mutation progression of three mining methods are 0.978, 0.852, 0.883, respectively, and the methods I is the optimal. The results are consistent with that of the method combined by the analytic hierarchy process (AHP) and fuzzy mathematics, indicating it is reasonable and feasible that the mutation progression method is applied to the optimization of mining method. |
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