Optimization of ore pillar recovery based on weighting combined with uncertainty measurement theory

Abstract Given the multi-objective nature and inherent uncertainty in evaluating ore pillar mining schemes, the analytic hierarchy process and entropy method were applied to determine factor weights. A new combined weighting method was proposed to obtain more objective and accurate results. Seven quantitative and four qualitative indicators were selected based on various mining performance factors and grading standards. A combined weighting–uncertainty measurement theory evaluation model was then constructed, integrating weight values and confidence levels from the recognition criteria. This model was applied to evaluate three proposed schemes, determining their relative merits and ranking. The evaluation demonstrated that the combined weighting–uncertainty measurement model outperformed both the fuzzy theory and the TOPSIS method in delivering comprehensive, objective, and reliable results for assessing ore pillar mining schemes.

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Publication Details

Journal
Journal of Geophysics and Engineering
Published
2024-10-14
DOI
https://doi.org/10.1093/jge/gxae108
Citations
1
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.33

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article

Optimization of ore pillar recovery based on weighting combined with uncertainty measurement theory

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1 citations
Journal of Geophysics and Engineering
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article

Optimization of ore pillar recovery based on weighting combined with uncertainty measurement theory

Dongsheng Zhao, Yuze Li, Changfeng Li, Jianwei Zhang, Z. H. Qu, Qingjun Yu, Christopher Q. Lan, Jiangbo Zhao, Guannan Wang, Chunlai Wang, Yutao Tang, Wenqiang Xu, Jun Qian
article en
1 citations

Abstract

Abstract Given the multi-objective nature and inherent uncertainty in evaluating ore pillar mining schemes, the analytic hierarchy process and entropy method were applied to determine factor weights. A new combined weighting method was proposed to obtain more objective and accurate results. Seven quantitative and four qualitative indicators were selected based on various mining performance factors and grading standards. A combined weighting–uncertainty measurement theory evaluation model was then constructed, integrating weight values and confidence levels from the recognition criteria. This model was applied to evaluate three proposed schemes, determining their relative merits and ranking. The evaluation demonstrated that the combined weighting–uncertainty measurement model outperformed both the fuzzy theory and the TOPSIS method in delivering comprehensive, objective, and reliable results for assessing ore pillar mining schemes.

Journal of Geophysics and EngineeringVol. 21(6)
Chifeng University (CN), China University of Mining and Technology (CN), China Nonferrous Metal Mining (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 41%
Mining Techniques and Economics
0.33
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