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Risk Communication: Survey on Quality of Safety Data Sheets of Agricultural Substances
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作者 Maristella Rubbiani Susanna Bascherini 《Journal of Environmental Science and Engineering(A)》 2012年第8期1043-1057,共15页
Manufacturers of chemicals are responsible for setting up a list of tools, including labels and safety data sheets, in order to provide adequate information about dangerous properties being labels and safety data shee... Manufacturers of chemicals are responsible for setting up a list of tools, including labels and safety data sheets, in order to provide adequate information about dangerous properties being labels and safety data sheets the main instruments for the immediate advice about dangerous substances and preparations for general public and workers. While correct labelling gives the possibility to general public to recognise the risks arising from handling and use of dangerous chemicals, safety data sheets are provided for professionals in order to allow safe handling and storage of dangerous chemicals in work places. Information contained in safety data sheets are also designed to suggest safety measures to be taken for the protection of workers as well as precaution measures and adequate actions to be taken in the case of accident. This project has critically revised the information contained in a list of safety data sheets of active ingredients provided for plant protection products, in order to assess the quality and the consistency of the data contained. Reported data have been then compared to published data. Considerable deficiencies/mistakes/inconsistencies have been found in the data reported along the safety data sheets of the examined substances, showing an urgent need of improving the enforcement related to a systematic recognition in this field as well as training of people involved in compilation of safety data sheets by producer side. 展开更多
关键词 Risk communication safety data sheets classification and labelling agricultural substances plant protection products.
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基于Rough set理论的本科生就业情况研究
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作者 王吉盛 陶跃华 +2 位作者 晏立 王燕 兰美辉 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2008年第S2期201-205,共5页
Rough Set理论是一种新型的处理模糊和不确定知识的数学工具.本科生的就业情况是最近几年来最受关注的问题之一,根据大量的调查表数据,分析这些数据之间的关联性,得出:要得到一定的结果属性,需要哪些条件.基于Rough Set理论中的正域概... Rough Set理论是一种新型的处理模糊和不确定知识的数学工具.本科生的就业情况是最近几年来最受关注的问题之一,根据大量的调查表数据,分析这些数据之间的关联性,得出:要得到一定的结果属性,需要哪些条件.基于Rough Set理论中的正域概念和由此定义的重要性概念,提出一种新的实现调查表分析的决策算法. 展开更多
关键词 粗糙集 本科生就业情况 调查表数据 关联性 重要性 决策算法
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我国21世纪后续能源技术的模糊评判选择
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作者 马玉清 刘皓 《数量经济技术经济研究》 CSSCI 北大核心 2001年第4期49-52,共4页
21世纪的后续能源问题关系到我国社会经济的可持续发展。本文通过对45位国内能源研究领域知名专家的调查,采用模糊综合评判方法,得出了我国21世纪应优先发展和重点发展的后续能源技术,评价结果可以为我国21世纪后续能源战略的制定提供... 21世纪的后续能源问题关系到我国社会经济的可持续发展。本文通过对45位国内能源研究领域知名专家的调查,采用模糊综合评判方法,得出了我国21世纪应优先发展和重点发展的后续能源技术,评价结果可以为我国21世纪后续能源战略的制定提供一定的参考依据。 展开更多
关键词 后续能源技术 模糊综合评判 评价指标体系 数据调查表 模糊关系矩阵 中国
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