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Decision Support System to Analyze the Cause of Special Equipment Accident

机译:决策支持系统分析特殊设备事故的原因

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The development and application of Decision Support System (DSS) promote the development of related industries, special equipment accident analysis also need the support of decision support system due to variety kinds of special equipment and changeable accident cause. It was expounded definition, development situation, classification, arithmetic and existing problems of DSS according to the characteristics of special equipment accidents analysis. Research shows that there are both difference and relation among five kinds of DSS. It introduces Bayesian network and the difference of Bayesian network modeling method. The reasoning modeling method based on knowledge could use both the empirical knowledge of experts and the computer aided technology, but it is limited by the quantity and quality of expert experience knowledge similar to artificial modeling method based on expert. The application of big data, cloud computing and other related technologies in DSS would stimulate the development of DSS. It provided the technology accumulation for exploitation and application of special equipment accident analysis DSS.
机译:决策支持系统(DSS)的开发和应用促进了相关行业的发展,特殊设备事故分析还需要支持决策支持系统的支持,由于各种特殊设备和可变的事故原因。根据特殊设备事故分析的特点,它被阐述了定义,发展情况,分类,算术和现有的DSS问题。研究表明,五种DSS之间存在差异和关系。它引入了贝叶斯网络和贝叶斯网络建模方法的差异。基于知识的推理建模方法可以利用专家和计算机辅助技术的经验知识,但它受到基于专家的人工建模方法的专家体验知识的数量和质量的限制。 DSS中的大数据,云计算和其他相关技术的应用将刺激DSS的发展。它为特殊设备事故分析DSS开发和应用提供了技术累积。

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