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851.
Two independent approaches have been used to analyze choices. A prominent notion is rationalizability: individuals choose maximizing binary relations. An alternative is to analyze choices in terms of standards of behavior with the notion of von Neumann–Morgenstern (vNM)-stability. We introduce a new concept (stability) that in turn extends the notion of stability and rationality. Our main result establishes that every rationalizable choice function is stable and every vNM-stable choice has an stable selection. An appealing property of stability is that well-known solution concepts (top cycle, uncovered set, …) are stable, while they are neither rationalizable nor vNM-stable. 相似文献
852.
Fred Henselwood 《Process Safety Progress》2009,28(3):221-226
Metrics addressing process safety incident performance typically focus on frequency and severity statistics. Often, these lagging metrics are not overly sensitive to actual performance, making trending and forecasting difficult. This article presents the results from a statistical study of a large incident dataset where changes in the Pareto shape parameter were observed as a function of time. This approach has been found to give far better insight into process safety performance than traditional incident metrics and readily relates back to concepts such as the “incident triangle” and “layers of protection.” Through the application of this approach, trends within process safety incident performance have been observed earlier, and more accurate forecasting has allowed for the identification of anomalies. In turn, these critical observations have allowed for the better structuring and targeting of process safety programs. Although incident data are generally considered as a lagging indicator, this approach has clearly reduced the lag time associated with this type of data and has given valuable insight into the current status of process safety performance. © 2009 American Institute of Chemical Engineers Process Saf Prog 2009 相似文献
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考虑评价环境的复杂不确定性、评价专家的信任行为特征以及群组专家的共识等问题,提出了一种区间Fermatean模糊信任网络群组综合评价方法。首先,针对区间Fermatean模糊评价信息的集成问题,提出了区间Fermatean模糊信息的运算规则,并在此基础上提出了一种区间Fermatean模糊Frank集成方法。其次,考虑到评价专家间信任关系对专家权重和共识达成的影响,构建了基于语言术语的信任网络以计算专家权重,同时设计了个性化反馈机制,进而构建了信任共识交互模型以提高群组共识度。此外,针对评价指标权重未知的情形,提出了区间Fermatean模糊熵权法获取指标权重。最后,通过高校商科类本科生统计设计能力的评价问题验证所提出方法的可行性和优越性。 相似文献