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Received: 19 January 2020 Accepted: 5 May 2020 Human factors are the main cause of mine accidents. With the aid of the Apriori algorithm, this paper establishes a new correlation analysis model for human factors in mine accidents. The model can predict the failure probability of human factors. Next, an evaluation index system for human reliability of mine operators was constructed. On this basis, fuzzy comprehensive evaluation (FCE) and analytic hierarchy process (AHP) were combined with neural network (NN) to evaluate human reliability of mine operators with stable performance. Meanwhile, principal component analysis (PCA) was combined with NN to evaluate human reliability of mine operators with unstable performance. Compared with the traditional evaluation methods, the proposed model reduces the dimension of input vector set, tolerates incomplete data samples, and achieves a high prediction accuracy.

A Correlation Analysis Model of Human Factors in Mine Accidents Based on Apriori Algorithm