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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Identify Unsafe Behavior Proneness Coal Miner: A Fuzzy Analogy Preferred Ratio Method
verfasst von : Zheng-quan Xu, Hua-qing Wang
Erschienen in: Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013)
Verlag: Springer Berlin Heidelberg
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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.