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Open AccessArticle

Safety Risk Assessment of a Pb-Zn Mine Based on Fuzzy-Grey Correlation Analysis

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School of Electrical and Information Technology, Yunnan Minzu University, Kunming 650031, China
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School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China
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School of Software, Central South University, Changsha 410083, China
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Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(1), 130; https://doi.org/10.3390/electronics9010130
Received: 3 December 2019 / Revised: 30 December 2019 / Accepted: 7 January 2020 / Published: 9 January 2020
Improving safety management and risk evaluation methods is important for the global mining industry, which is the backbone of the industrial development of our society. To prevent any accidental loss or harm to human life and property, a safety risk assessment method is needed to perform the continuous risk assessment of mines. Based on the requirements of mine safety evaluation, this paper proposes the Pb-Zn mine safety risk evaluation model based on the fuzzy-grey correlation analysis method. The model is compared with the risk assessment model based on the fuzzy TOPSIS method. Through the experiments, our results demonstrate that the proposed fuzzy-grey correlation model is more sensitive to risk and has less effect on the evaluation results under different scoring attitudes (cautious, rational, and relaxed).
Keywords: system modelling; safety control; risk evaluation; decision support; expert evaluation; fuzzy logic; grey theory system modelling; safety control; risk evaluation; decision support; expert evaluation; fuzzy logic; grey theory
MDPI and ACS Style

Dong, G.; Wei, W.; Xia, X.; Woźniak, M.; Damaševičius, R. Safety Risk Assessment of a Pb-Zn Mine Based on Fuzzy-Grey Correlation Analysis. Electronics 2020, 9, 130.

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