群的n—伪正规子群

“本文引入了群的民;—伪正规子群的概念,并结合文[1]中n次方群及n次方闭群的概念和结果得到若干有益的绪论。     

Fuzzy右线性语言的运算封闭性（Ⅱ）

在文献［２］的基础上，　对Ｆｕｚｚｙ右线性语言的一些常用面重要的性质作了进一步讨论。证明了ｆｕｚｚｙ右线性语言对逆运算及置换具有封闭性。这样完善系统化了Ｆｕｚｚｙ右线性语言的运算性质。     

准素子群的正规化子具有给定指数的有限群的幂零长

研究了已给准素子群的正规化子指数的有限群.给出了所有准素子群的正规化子有素数幂指数的有限 群的幂零长的界.     

数控系统配套产品的质量模糊排序法

以数控系统关键配套产品质量排序为目标,引入模糊数学中的相关理论,建立产品质量排序模型,提出了一种较为实用的排序方法,并以实例证明其有效性。     

Utilizing fuzzy compatibility of skill sets for team selection in multi-phase projects

In this paper, a model is developed for the selection of personnel for a multiple phase project which takes into account the match between the skills possessed by each individual, the skills needed for each phase, and rather flexible budget considerations. The algorithm uses the fuzzy construct of compatibility to measure the fit of a person’s skill set to the goal set for each project phase. Based on the individual fuzzy compatibility measures, the team is formed from combined levels of compatibility and acceptable levels of quality defined for the goal set. 1 and 2 present the background information necessary to an understanding of project management phases and compatibility of skills. The development of the model and subsequent algorithm in 3 and 4, respectively rely on fuzzy measures of compatibility. Finally, an application is presented in Section 4 with conclusions stated in Section 5.     

Assessing and communicating heterogeneity of treatment effects for patient subpopulations: The hardest problem there is

Heterogeneity is an enormously complex problem because there are so many dimensions and variables that can be considered when assessing which ones may influence an efficacy or safety outcome for an individual patient. This is difficult in randomized controlled trials and even more so in observational settings. An alternative approach is presented in which the individual patient becomes the “subgroup,” and similar patients are identified in the clinical trial database or electronic medical record that can be used to predict how that individual patient may respond to treatment.     

Analyzing the Productive and Protective Dimensions of Welfare: Looking Beyond the OECD

Several theorists have argued that social policy in East Asia can be seen as representing a distinctive welfare ideal type based around ‘productive welfare’. However, we have contested such claims in earlier work (Hudson and Kühner 2009) and, in common with theorists such as Castells, have suggested that some of the welfare states of the Organisation for Economic Co‐operation and Development (OECD) have a distinct bias towards the ‘productive’ rather than ‘protective’ dimensions of welfare. In this article, we build on our earlier work, utilizing fuzzy set ideal type analysis (FSITA) to explore the balance between ‘productive' and ‘protective’ dimensions of welfare state activity. Here we extend our analysis beyond the OECD, incorporating a range of nations on the ‘fringe’ of the OECD from Latin America, East Asia and the non‐OECD parts of Europe. In so doing, we contest simple notions of welfare regimes aligning with regional blocks. Primarily, however, we highlight the advantages of the ‘diversity‐orientated’ approach to data analysis that fuzzy set methods facilitate in comparison with standard quantitative techniques. In particular, we utilize FSITA to avoid data availability and reliability issues that have plagued quantitatively informed classifications of global welfare regimes. Not least, we argue FSITA allows for the contextualization of cases in a way that is sealed to quantitatively driven, comparative research. Thus, we argue FSITA has an important role to play in attempts to extend the inclusiveness of the ‘welfare modelling business’ in a manner that reflects diverse and highly significant cases beyond the Western lens that dominates the literature.     

Hypotheses Testing as a Fuzzy Set Estimation Problem

For many scientific experiments computing a p-value is the standard method for reporting the outcome. It is a simple way of summarizing the information in the data. One theoretical justification for p-values is the Neyman-Pearson theory of hypotheses testing. However, the decision making focus of this theory does not correspond well with the desire, in most scientific experiments, for a simple and easily interpretable summary of the data. Fuzzy set theory with its notion of a membership function gives a non-probabilistic way to talk about uncertainty. Here, we argue that for some situations, where a p-value is computed, it may make more sense to formulate the question as one of estimating a membership function of the subset of special parameter points which are of particular interest for the experiment. Choosing the appropriate membership function can be more difficult than specifying the null and alternative hypotheses but the resulting payoff is greater. This is because a membership function can better represent the shades of desirability among the parameter points than the sharp division of the parameter space into the null and alternative hypotheses. This approach yields an estimate which is easy to interpret and more flexible and informative than the cruder p-value.     

基于LMI的T—S模糊时滞系统控制器设计

利用模糊T—S模型对一类非线性时滞系统进行建模,在此基础上,设计出了模糊时滞系统的保成本控制器,并利用Lyapunov—Razumikhin引理和线性矩阵不等式证明了系统渐近稳定的充分条件,通过求解一系列线性矩阵不等式,得到了反馈增益矩阵。     

会计准则国际趋同度量方法拓展——模糊聚类分析法初探

一般认为,会计国际协调/趋同①包括形式协调(准则协调)和实质协调(实务协调)两个方面.形式趋同是实质趋同的基础和前提,是当前国内外会计领域研究的热点问题,也是会计职业发展的重点领域.形式趋同程度的检验无论对会计理论的发展,还是对会计实务的改进都至关重要.由于会计国际趋同程度的量化研究方法存在多例证现象,以致研究结论相互矛盾或难以解释.本文以会计形式趋同度量为研究内容,在对国内外有关文献回顾的基础上,针对现有度量方法的不足和会计准则本身的特性,提出了会计形式趋同度量的新方法---模糊聚类分析法,并以我国会计准则为例,在对比点、度量方法的选择、度量的内容等方面对该领域方法论和方法创新进行了初步尝试.