Abstract | ||
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Aiming at the defects of simply using LEC method to evaluate the risk factors in working system, this paper thoroughly analyses the main factors which can influence the hazard assessment; adapts LEC and AHP assessment methods with the combination of the former accident cases and experts' experiences; associates multiple factors that can lead to accidents, assigns reasonable weights, thus determines the importance order of the factors. The statistical data verifies that the above method implements the quantitative assessment objectively, which can guarantee the consistency of the evaluation result and statistical data. |
Year | DOI | Venue |
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2009 | 10.1007/978-3-642-01216-7_9 | SIXTH INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS (ISNN 2009) |
Keywords | Field | DocType |
Hydroelectric project construction,Hazard assessment,LEC,AHP,Statistical data on accidents | Computer science,Hazard analysis,Risk analysis (engineering),Artificial intelligence,Quantitative assessment,Hydroelectricity,Machine learning,Analytic hierarchy process | Conference |
Volume | ISSN | Citations |
56 | 1867-5662 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jian-Lan Zhou | 1 | 1 | 1.04 |
Dawei Tang | 2 | 156 | 6.95 |
Xianrong Liu | 3 | 0 | 2.37 |
Sheng-yu Gong | 4 | 0 | 0.34 |