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Mining Method Optimization of Difficult-to-Mine Complicated Orebody Using Pythagorean Fuzzy Sets and TOPSIS Method

Author

Listed:
  • Shuai Li

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Qi Huang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Boyi Hu

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Jilong Pan

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Junyu Chen

    (Zhejiang Suichang Gold Mine Co., Ltd., Lishui 323304, China)

  • Jianguo Yang

    (Zhejiang Suichang Gold Mine Co., Ltd., Lishui 323304, China)

  • Xinghui Zhou

    (Zhejiang Suichang Gold Mine Co., Ltd., Lishui 323304, China)

  • Xinmin Wang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Haoxuan Yu

    (Civil Engineering Discipline, School of Engineering, Monash University, Malaysia Campus, Bandar Sunway 47500, Malaysia)

Abstract

In Suichang gold mine, the altered rock type gold deposits were cut by faults and joint fissures, leading to complex resource endowment characteristics, large changes in occurrence, a serious complex of ore vein branches and great difficulty in mining. In order to select a suitable mining method for such a difficult and complicated orebody, a multi-factor and multi-index comprehensive evaluation system involving benefits, costs, safety and other aspects was constructed by using the Pythagorean fuzzy sets and TOPSIS method. Taking Suichang gold mine as an example, the weighted aggregation evaluation matrix was constructed, the closeness index of the four mining schemes were 0.8436, 0.3370, 0.4296 and 0.4334, and the mechanized upward horizontal layering method was determined as the optimal scheme. This method overcame the fuzzy comparison of economic and technical indicators directly, but converted them into corresponding fuzzy numbers to obtain accurate closeness index for optimization. The application of this method not only ensured a safe, efficient and environment-friendly mining effect, but also provided a reference for the optimization of the mining scheme of the severely branched composite orebody.

Suggested Citation

  • Shuai Li & Qi Huang & Boyi Hu & Jilong Pan & Junyu Chen & Jianguo Yang & Xinghui Zhou & Xinmin Wang & Haoxuan Yu, 2023. "Mining Method Optimization of Difficult-to-Mine Complicated Orebody Using Pythagorean Fuzzy Sets and TOPSIS Method," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3692-:d:1071328
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    References listed on IDEAS

    as
    1. Wenguang Yang, 2020. "Ingenious Solution for the Rank Reversal Problem of TOPSIS Method," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, January.
    2. Haoxuan Yu & Shuai Li & Lifeng Yu & Xinmin Wang, 2022. "The Recent Progress China Has Made in Green Mine Construction, Part II: Typical Examples of Green Mines," IJERPH, MDPI, vol. 19(13), pages 1-14, July.
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    Cited by:

    1. Jahanbani, Zeinab & Ataee-pour, Majid & Mortazavi, Ali, 2024. "Application of Z-numbers theory to study the influencing criteria in underground mining method selection," Resources Policy, Elsevier, vol. 88(C).
    2. Jiayi Shen & Chenhao Sun & Huajie Huang & Jiawang Chen & Chuangzhou Wu, 2023. "Scale Effects on Shear Strength of Rough Rock Joints Caused by Normal Stress Conditions," Sustainability, MDPI, vol. 15(9), pages 1-14, May.

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