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Identify Unsafe Behavior Proneness Coal Miner: A Fuzzy Analogy Preferred Ratio Method

In: Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013)

Author

Listed:
  • Zheng-quan Xu

    (China University of Mining and Technology)

  • Hua-qing Wang

    (China University of Mining and Technology)

Abstract

Coal miners who are prone to accident tend to be more likely to violate coal mining regulations than the average ones do, so the safety supervisors need to pay more attention to making them under control in the process of coal mining. However, it is difficult to for the safety supervisor to accurately find who has unsafe behavior propensity in practice. To resolve the above questions, fuzzy analogy preferred ratio method is used, in this paper, to identify coal miners who have a tendency to take unsafe actions in the coal mining activity. The method involves two key steps: find similarity factors of different miners; and rank miner by the similarity. Results reached in this paper show that the method is an effective tool to find coal miners prone to taking unsafe actions, which can also facilitate the supervisor to find coal miners who are accident-proneness, and make them under stricter control.

Suggested Citation

  • Zheng-quan Xu & Hua-qing Wang, 2014. "Identify Unsafe Behavior Proneness Coal Miner: A Fuzzy Analogy Preferred Ratio Method," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), edition 127, pages 523-530, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40060-5_51
    DOI: 10.1007/978-3-642-40060-5_51
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    Cited by:

    1. Yonghui Li & Jiahui Yang & Meifen Wu & Jiaqi Wang & Ruyin Long, 2021. "A Comprehensive Model of the Relationship between Miners’ Work Commitment, Cultural Emotion and Unemployment Risk Perception," Sustainability, MDPI, vol. 13(5), pages 1-22, March.

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