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

Zheng-quan Xu () and Hua-qing Wang ()
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Zheng-quan Xu: China University of Mining and Technology
Hua-qing Wang: China University of Mining and Technology

A chapter in Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), 2014, pp 523-530 from Springer

Abstract: 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.

Keywords: Coal mine; Fuzzy analogy preferred ratio method (FAPR method); Unsafe actions; Unsafe behavior proneness (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-642-40060-5_51

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