2020
DOI: 10.3390/su12062294
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Coal Resource Security Assessment in China: A Study Using Entropy-Weight-Based TOPSIS and BP Neural Network

Abstract: Energy security has become a worldwide issue in recent years. Coal resources security (CRS), an important part of energy security, has been an emerging concern in many countries, due to the diminishing fossil energy reserve and unbalanced energy structure. However, there is no universally agreed method of constructing indicator system for CRS assessment. Subjectivity in the process of evaluation also affects the results of assessment. Moreover, CRS is a complex system that should be evaluated scientifically un… Show more

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Cited by 19 publications
(16 citation statements)
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“…The entropy-weight method objectively determines the weight according to the information provided by each evaluation indicator to be entropy weight. It can objectively reflect the importance of a certain indicator in the indicator system and has strong fitness during weight determination [ 27 ].…”
Section: Evaluation Methods and Data Sourcesmentioning
confidence: 99%
See 1 more Smart Citation
“…The entropy-weight method objectively determines the weight according to the information provided by each evaluation indicator to be entropy weight. It can objectively reflect the importance of a certain indicator in the indicator system and has strong fitness during weight determination [ 27 ].…”
Section: Evaluation Methods and Data Sourcesmentioning
confidence: 99%
“…Second, mining firms are selected as elements of a to-be-studied sample. Existing research on sustainability assessment mainly comes from three views, from the regional development view [ 15 , 23 , 24 ], from the supply chain view [ 19 , 20 , 25 ], and from the industry view, such as manufacturing industry [ 1 ], food and beverage industry [ 7 ], electronics industry [ 18 ], furniture industry [ 21 ], metallurgical industry [ 22 ], chemical industry [ 26 ], banking industry [ 27 ]. Research on mining industry is still scarce and far from meeting the needs of real businesses.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, some international results indicate that CSR practices' adoption positively impacts environmental sustainability in the short, medium and long term [43], 2020). Similar results occur in the South African context, where internal and external environmental factors significantly influence the commitment to a more sustainable and committed CSR [44].…”
Section: Interaction Of Social Responsibility With Diversity Environmentioning
confidence: 99%
“…Several papers have unified methods based on graph neural networks into the "graph network" framework [22][23][24][25][26]. The graph network's task-oriented, flexible structure features multi-attribute characterization, relational reasoning, and system prediction [27,28], providing useful references for this paper.…”
Section: Literature Reviewmentioning
confidence: 99%