Fuzzy Comprehensive Evaluation of Ecological Risk Based on Cloud Model: Taking Chengchao Iron Mine as Example

Ruan, Jinghua; Chen, Yong; Xiao, Xiao; Yong, Gan; Huang, Ranran; Zhang, Miao

doi:10.1088/1755-1315/111/1/012005

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Bayesian algorithm mainly refers to the joint probability distribution of input and output based on the assumption of the conditional independence of feature variables under the given conditions of the training data set [23]. Then based on this model, the input instance feature uses Bayes' theorem to find the maximum posterior probability output.…”

Section: Index Optimization Based On Bayesian Algorithmmentioning

confidence: 99%

RETRACTED ARTICLE: Evaluation of the value of basketball players based on wireless network and improved Bayesian algorithm

Dong

2020

J Wireless Com Network

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The selection of basketball players should highlight their specific characteristics and proceed according to the essential laws of basketball. When the acquired training level becomes closer and closer, and is more and more conducive to the control of the entire training and competition, the selection of the standard paradigm of basketball players plays a key role. At present, the existing evaluation methods of basketball players are limited to the human experience of coaches, and there is a lack of further information evaluation methods. This article discusses a new type of basketball player evaluation scheme that combines wireless network and machine learning methods. First, the wireless sensor network is used to perceive basketball players' performance on the court and record various evaluation indicators. Secondly, establish a player value evaluation model through improved Bayesian algorithm and fuzzy comprehensive evaluation methods. Finally, after relevant tests and comparisons with the coaches' results, the model showed better evaluation results and a fairer value distribution.

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Section: Index Optimization Based On Bayesian Algorithmmentioning

confidence: 99%

RETRACTED ARTICLE: Evaluation of the value of basketball players based on wireless network and improved Bayesian algorithm

Dong

2020

J Wireless Com Network

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“…et al proposed a Fuzzy Synthetic Evaluation (FSE) approach as a new tool for ranking the risks in mining projects (Basiri and Azad 2015); Li hui et al proposed a qualitative-quantitative comprehensive risk evaluation method combining the fuzzy mathematics and the grey system theory to analyze the investment risks of one Chinese overseas oil refining project as a case study (Li et al 2017). In addition, Wang Zuogong (Wang et al 2013), Wang Xunhong, Dong Longjun (Dong et al 2017) and Ruan Jinghua (Jinghua et al 2018) et al have also done relevant researches.…”

Section: Risk Evaluation Methods Based On Set Pair Analysis Applied T...mentioning

confidence: 99%

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

Ma¹,

Li²,

Hu³

et al. 2018

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“…The AHP is a widely known multi-criteria decision-making method developed by an American researcher, Thomas L. Saaty, in the 1970s [32,33]. Its combines both qualitative and quantitative system analysis, which deals in solving complex fuzzy multi-factor problems effectively and conveniently [34]. AHP is a team decision-making technique, which involves the ranking of decision items and comparison of cluster pairs [35].…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Safety Risk Assessment and Management of Panzhihua Open Pit (OP)-Underground (UG) Iron Mine Based on AHP-FCE, Sichuan Province, China

Deng

et al. 2023

Sustainability

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In order to prevent accident cases and improve safety in the mining industry, a safety risk assessment and management process is needed to identify and respond to high-risk hazards in mines. This study aims to investigate the main safety risks factors influencing the typology of accidents in the Panzhihua OP-UG iron ore mine with the concept of minimizing them, reducing injuries and fatalities, and improving prevention policies. A methodology based on the analytic hierarchy process and fuzzy comprehensive evaluation (AHP-FCE) is applied to conduct a study on the assessment and evaluation of mine safety risks. Upon investigating the safety situation at the mine site, 85 risk factors were identified, of which 49 factors were considered to be non-threatening and therefore compatible with existing control measures. The remaining potential hazards, altogether 36 factors, were ultimately categorized into six major specific groups. A mine safety index system and safety risk evaluation model are established to support the evaluation process. The results show that the overall risk level of the Panzhihua OP-UG iron mine is at a medium level with a score of 86.5%. Appropriate risk management measures were recommended for each risk factor from the perspectives of theoretical analysis, safety system optimization of mine technology, disaster prevention and control of slope failure, etc. Finally, this research serves as a great industrial value and academic significance to provide technical support for the safety production of mining enterprises. Hence, the FCE method can serve as a technique to accurately evaluate the impact of iron mine risk.

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Fuzzy Comprehensive Evaluation of Ecological Risk Based on Cloud Model: Taking Chengchao Iron Mine as Example

Cited by 3 publications

References 3 publications

RETRACTED ARTICLE: Evaluation of the value of basketball players based on wireless network and improved Bayesian algorithm

RETRACTED ARTICLE: Evaluation of the value of basketball players based on wireless network and improved Bayesian algorithm

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

Safety Risk Assessment and Management of Panzhihua Open Pit (OP)-Underground (UG) Iron Mine Based on AHP-FCE, Sichuan Province, China

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