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Decision Making Support System(DSS)——A Synthesized and Integrated Crystallization of Systems Engineering, Artificial Intelligence and Electronic Technologies
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作者 汪成为 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1993年第1期1-2,共2页
I firmly believe that of systems engineering is the requirement-driven force for the progress ofsoftware engineering, artificial intelligence and electronic technologies. The development ofsoftware engineering, artifi... I firmly believe that of systems engineering is the requirement-driven force for the progress ofsoftware engineering, artificial intelligence and electronic technologies. The development ofsoftware engineering, artificial intelligence and electronic technologies is the technical supportfor the progress of systems engineering. INTEGRATION can be considered as "bridging" the ex-isting technologies and the People together into a coordinated SYSTEM. 展开更多
关键词 decision Making support System Artificial Intelligence and Electronic Technologies DSS A Synthesized and Integrated Crystallization of Systems Engineering
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主动脉夹层手术决策辅助工具的构建与应用研究
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作者 张舵 周雁荣 +9 位作者 吴前胜 潘友民 郑智 查正彪 刘娟 王萧萧 朱利思 胡凯利 李碧稳 梅凌寒 《护理学杂志》 CSCD 北大核心 2024年第3期31-35,共5页
目的构建主动脉夹层手术决策辅助工具,提高主动脉夹层患方决策者的决策质量。方法通过文献分析、专家函询、用户调适等形成主动脉夹层决策辅助工具,于2022年8-10月将心脏大血管外科主动脉夹层手术的患方决策者按病区分为对照组和干预组... 目的构建主动脉夹层手术决策辅助工具,提高主动脉夹层患方决策者的决策质量。方法通过文献分析、专家函询、用户调适等形成主动脉夹层决策辅助工具,于2022年8-10月将心脏大血管外科主动脉夹层手术的患方决策者按病区分为对照组和干预组各35例。对照组行常规健康宣教及术前谈话,干预组在此基础上使用决策辅助工具。比较两组出院前决策冲突、决策准备度、决策满意度。结果主动脉夹层决策辅助工具包含4项一级指标,9项二级指标,31项三级指标。干预组决策冲突得分显著低于对照组,决策准备度及满意度得分显著高于对照组(均P<0.05)。结论主动脉夹层手术决策辅助工具具有科学性和实用性,可以减轻患方决策者决策冲突,提高决策质量,实现医患共享决策。 展开更多
关键词 主动脉夹层 手术 决策者 决策辅助 决策准备度 决策冲突 共享决策 心外科护理
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A Method for the Application of Numerical Simulations during Firefighting Operations Using Pre-Simulated, Model-Based Fire Scenarios
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作者 Puyan Abolghasem Zadeh Uwe Rüppel 《Open Journal of Civil Engineering》 2013年第2期9-17,共9页
The spread of fire and smoke during a fire incident plays a crucial role in rescuing people from the burning building. So it is important for the decision makers (the head of rescue staff) to get a prediction about th... The spread of fire and smoke during a fire incident plays a crucial role in rescuing people from the burning building. So it is important for the decision makers (the head of rescue staff) to get a prediction about the spread of fire inside the building through computational techniques like numerical fire simulations. But these techniques require advanced mathematical knowledge and are very time consuming. This paper presents a new method which employs a set of pre-simulated and model-based scenarios to find the closest one to the real fire and present its results to the decision makers. For this purpose, we shift the performance consuming numerical fire simulations into a former phase by integration of these simulations into the planning process of the building. This is realized by enhancing the methods of Building Information Modeling (BIM). To provide the fire simulation results during a real case, our new concept includes a scenario database where all simulated fire scenarios will be collected. In a real case, a special search algorithm will go through this database to find the closest pre-simulated fire scenario to the real fire on the basis of reported information from the burning building. 展开更多
关键词 Fire Simulation Model-based Fire Scenario FIREFIGHTING decision Making support Building Information Modeling
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