Quantitative Risk Assessment for Deep Tunnel Failure Based on Normal Cloud Model: A Case Study at the ASHELE Copper Mine, China

Liu, Jianpo; Shi, Hong-xu; Ren, Wei; Si, Ying-tao; Wei, Deng-cheng; Wang, Yongxin

doi:10.3390/app11115208

Cited by 12 publications

(3 citation statements)

References 34 publications

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“…In this study, we use fuzzy comprehensive evaluation to evaluate sports smart bracelets. Fuzzy comprehensive evaluation must determine the weight of each indicator, and many scholars have used AHP or EWM for this purpose [ 38 , 39 ]; however, only AHP is used to determine the weight of each evaluation indicator in this study, which makes it easy to obtain decision results with a certain degree of subjectivity. If the EWM is used to determine the weight of each evaluation indicator, it is easy to become divorced from reality.…”

Section: Discussionmentioning

confidence: 99%

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Luo

Zhao

Chen

2022

Computational Intelligence and Neuroscience

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Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment leading to a series of chronic diseases, physical exercise is an important way to prevent chronic diseases. Additionally, a good exercise smart bracelet can bring convenience to physical exercise. Quick and accurate evaluation of smart sports bracelets has become a hot topic and draws attention from both academic researchers and public society. In the literature, the analytic hierarchy process (AHP) and entropy weight method (EWM) were used to obtain the weights from both subjective and objective perspectives, which were integrated by the comprehensive weighting method, and furthermore the performance of sports smart bracelet was evaluated through fuzzy comprehensive evaluation. Also, to avoid complex weight calculations caused by the comprehensive weighting method, machine learning methods are used to model the structure and contribute to the comprehensive evaluation process. However, few studies have investigated all previous elements in the comprehensive evaluation process. In this study, we consider all previous parts when evaluating smart sports bracelets. In particular, we use the sparrow search algorithm (SSA) to optimize the backpropagation (BP) neural network for constructing the comprehensive score prediction model of the sports smart bracelet. Results show that the sparrow search algorithm-optimized backpropagation (SSA-BP) neural network model has good predictive ability and can quickly obtain evaluation results on the premise of effectively ensuring the accuracy of the evaluation results.

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Section: Discussionmentioning

confidence: 99%

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Luo

Zhao

Chen

2022

Computational Intelligence and Neuroscience

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“…Cloud theory was proposed by Professor Li (Li et al, 2009), which can effectively convert quantitative and qualitative information and visualize it through cloud maps (Ma and Zhang, 2020). Among them, the normal cloud model is the most important type of cloud model and has been widely used in prediction, comprehensive evaluation, data mining, intelligent control, and other fields (Liu et al, 2021;Ruan et al, 2021). Cloud theory has also been extensively applied in the assessment field (Chen et al, 2023;Guojiao et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of slopes based on cloud model-Monte Carlo coupling

Chen

Sun

et al. 2023

Front. Earth Sci.

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Risk analysis of dam slopes is crucial for ensuring the safety and stability of hydraulic engineering. To improve the accuracy and reliability of risk analysis, we adopt the cloud theory approach and conduct a study on the distribution types of soil shear strength indicators based on indoor geotechnical tests. We propose a “cloud model-Monte Carlo” coupling model that uses the cloud model to describe the uncertainty of risk factors and determine the probability distribution types of shear strength parameters, while the Monte Carlo method is used to simulate random variables in the model. The effectiveness of the proposed model is validated through a risk analysis of a slope of an earth-rock dam, with results showing significantly greater accuracy and reliability compared to traditional methods. The calculation results show that the risk probability corresponding to the design flood level of the dam is 9.01×10-6, exceeding its allowable risk standard of 0.5×10-6, hence the need for reinforcement treatment. The proposed model can accurately evaluate the risk of dams and provide the scientific basis for decision-making in dam safety management.

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“…The second one is the uncertainty method. Typical approaches include extensible comprehensive evaluation [30], unascertained measure theory [31], the fuzzy comprehensive assessment method [32] and so on [33,34]. These methods can characterize the uncertainties of rockburst hazards by using membership functions.…”

Section: Introductionmentioning

confidence: 99%

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

Li,

Liang,

Zhao

2023

Applied Sciences

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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.

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Quantitative Risk Assessment for Deep Tunnel Failure Based on Normal Cloud Model: A Case Study at the ASHELE Copper Mine, China

Cited by 12 publications

References 34 publications

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Stability analysis of slopes based on cloud model-Monte Carlo coupling

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

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