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地方法人金融机构洗钱风险自评估指标设计构想
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作者 王伟 李泓震 《金融发展评论》 2017年第5期129-135,共7页
在当前洗钱、恐怖融资威胁日益严重的背景下,国际反洗钱监管原则逐渐由"规则为本"向"风险为本"转变。2014年11月,人民银行颁布的《金融机构反洗钱监督管理办法(试行)》规定法人金融机构应当建立风险自评估制度。本... 在当前洗钱、恐怖融资威胁日益严重的背景下,国际反洗钱监管原则逐渐由"规则为本"向"风险为本"转变。2014年11月,人民银行颁布的《金融机构反洗钱监督管理办法(试行)》规定法人金融机构应当建立风险自评估制度。本文旨在结合辖区基层法人银行机构实际,探索完善具有区域特色的金融机构洗钱风险自评估指标体系,以增强改进风险评估效果,推动提升法人金融机构反洗钱工作的有效性。 展开更多
关键词 法人金融机构 洗钱风险 自评估指标
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Establishing the Basic Indicator for the Calculation of the Flood Vulnerability Index for River Basins in Vietnam 被引量:3
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作者 Can Thu Van Nguyen Thanh Son Phan Vu Hoang Phuong 《Journal of Environmental Science and Engineering(B)》 2016年第8期390-394,共5页
Along with the concept, the method of assessing the vulnerability is becoming more and more diversified in many directions and fields. In general, these methods can be classified into two groups: (i) direct-qualita... Along with the concept, the method of assessing the vulnerability is becoming more and more diversified in many directions and fields. In general, these methods can be classified into two groups: (i) direct-qualitative (survey methods, integrated map ...) and (ii) indirectly-quantitative (method index). The set of indicator plays a very important role in the successful application to any method and brings reliable results. Each basin or area with different natural geography, economics and society and so on, requires a different set of indicator. However, assessing any river basin in Vietnam needs the basic indicator. This study will establish the basic indicator for the construction of flood vulnerability index in Vietnam. 展开更多
关键词 VULNERABILITY FLOOD indicator.
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Research on Risk Assessment of City Natural Disaster based on Neural Network
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作者 Xinyan WU 《International Journal of Technology Management》 2014年第7期109-111,共3页
Aiming at the selection of fuzzy AHP and fuzzy DH methods in the previous studies, this paper evaluate the qualitative index system using expert questionnaire, the self-learning BP neural network model to construct th... Aiming at the selection of fuzzy AHP and fuzzy DH methods in the previous studies, this paper evaluate the qualitative index system using expert questionnaire, the self-learning BP neural network model to construct the index of system, and complete the establishment of model, in order to avoid the serious subjectivity, and using statistical and measurement methods test the reliability index, analyze the validity of the evaluation index system and completeness. Finally, the paper validate the practicability of the model. 展开更多
关键词 Geological disaster disaster prevention and mitigation neural network risk assessment
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