Rational stability of choice functions

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 ($r-$stability) that in turn extends the notion of stability and rationality. Our main result establishes that every rationalizable choice function is $r-$stable and every vNM-stable choice has an $r-$stable selection. An appealing property of $r-$stability is that well-known solution concepts (top cycle, uncovered set, …) are $r-$stable, while they are neither rationalizable nor vNM-stable.     

The use of the Pareto shape parameter as a leading indicator of process safety performance

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     

柴油发电机组国内主要企业的专利现状分析

柴油发电机组在国内外的需求不断增加,进出口对产品技术的重视和要求也越来越高,而国内柴油发电机组生产企业依然侧重组装,缺乏对技术的投入及研发的系统管理。通过对国内主要柴油发电机组生产企业上海康诚、上海鼎新、上海科泰、无锡瑞昌、无锡百发、江西泰豪、深圳赛瓦特7家企业的专利现状分析,洞察生产企业的技术优势与研发策略,从而为其它柴油发电机组国内企业提供发展思路借鉴。     

产业技术创新战略联盟利益分配机制研究综述

从联盟利益分配客体、利益分配主体,以及利益分配机制的具体建构等方面对国内相关研究进行综述表明,由于缺乏深入的个案研究,以及采集经验数据存在较大难度,致使现有研究大多偏向于宏观化和模型化,可操作性和合理性还有待验证,实际应用效果还有待于进一步的考核评估。联盟利益分配客体的确立,特别是对间接利益的定量化,以及根据利益主体的个体差异性、利益客体的阶段性,选择合理的分配方式等方面研究还有待加强。     

复杂信任网络群组综合评价方法及应用研究

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。