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Assessing the risk degree of goafs by employing hybrid TODIM method under uncertainty

  • Weizhang Liang
  • Guoyan ZhaoEmail author
  • Hao Wu
  • Ying Chen
Original Paper

Abstract

A large number of accidents caused by goafs have great influence on the ecological environment and public safety. In order to assess the risk degrees of goafs, a hybrid Tomada de Decisão Interativa Multicritério (TODIM) method is proposed in this paper. Firstly, on account of the geological conditions, shape parameters and environmental factors, an evaluation index system is established. This system includes seven quantitative sub-criteria and six qualitative sub-criteria. The combined weight of each index is determined on the basis of game theory by combining the subjective weight and objective weight. Afterward, a fuzzy-TODIM method is put forward to obtain the rank of risk degree and the specific risk level. Finally, the hybrid TODIM method is used to assess the risk degrees of goafs in Shuikoushan lead-zinc mine under uncertainty. Sensitivity analysis is demonstrated to reveal the robustness of this approach. Results show that the proposed hybrid TODIM method can be adopted to assess the risk degrees of goafs reliably and stably.

Keywords

Risk degree evaluation Goafs Multi-criteria decision method Uncertainty 

Notes

Acknowledgements

This work was supported by Fundamental Research Funds of Central South University (2018zzts218), Survey Research Funds of Central South University (2018dcyj052), and National Natural Science Foundation of China (51374244, 51774321). Besides, we also sincerely thank the anonymous reviewers for their helpful and constructive suggestions and the editors for their careful and patient work.

Author contributions

Wei-zhang Liang and Guo-yan Zhao conceived and worked together to achieve this work, Wei-zhang Liang wrote the paper, and Guo-yan Zhao made contribution to the case study. Hao Wu and Ying Chen made contribution to modify the quality and English writing of this paper.

Compliance with ethical standards

Conflicts of interest

The authors declare no conflict of interest.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Weizhang Liang
    • 1
  • Guoyan Zhao
    • 1
    Email author
  • Hao Wu
    • 1
  • Ying Chen
    • 1
  1. 1.School of Resources and Safety EngineeringCentral South UniversityChangshaChina

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