Rockburst Hazard Evaluation Using an Extended COPRAS Method with Interval-Valued Fuzzy Information

Rockburst is a major disaster in deep mining engineering, which can cause serious injury, death and economic losses. This study aims to solve rockburst hazard evaluation problems and determine the hazard levels of mines under uncertain circumstances. To this end, a novel multicriteria decision-makin...

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Bibliographic Details
Published inApplied sciences Vol. 13; no. 17; p. 9941
Main Authors Li, Zheng, Liang, Weizhang, Zhao, Guoyan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2023
Subjects
Algorithms
Analysis
Decision making
Energy
hazard evaluation
interval-valued fuzzy numbers
Machine learning
Methods
Mine accidents
Mineral industry
Mines
Mining engineering
Mining industry
multicriteria decision making
Rankings
rockburst
Simulation
uncertainty
Iran
China
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Summary:Rockburst is a major disaster in deep mining engineering, which can cause serious injury, death and economic losses. This study aims to solve rockburst hazard evaluation problems and determine the hazard levels of mines under uncertain circumstances. To this end, a novel multicriteria decision-making (MCDM) method was proposed in an interval-valued fuzzy context. The main contributions are three-fold. First, considering the heterogeneity of rock masses and the complexity of mining engineering, interval-valued fuzzy numbers (IVFNs) were adopted to express initial indicator information. Second, accounting for the uncertainty of indicator weights, the decision-making trial and evaluation laboratory (DEMATEL) and entropy methods were extended with IVFNs to determine fuzzy indicator weights comprehensively. Third, the complex proportional assessment (COPRAS) approach was extended with IVFNs to determine the rockburst hazard level. Finally, the proposed method was applied to evaluate rockburst hazards in the Jiaojia gold mine, and the ranking results were consistent with field status. Meanwhile, sensitivity and comparison analyses were performed to reveal the stability and effectiveness of the proposed method. The results indicated that the extended COPRAS method was reliable for rockburst hazard evaluation in deep mining engineering.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13179941