美国健身俱乐部会籍营销系统研究

采用文献资料法、专家访谈法等,深度剖析了美国大众体育健身俱乐部的会籍营销系统,指出造就美国健身巨头企业强势业绩的决定因素是其完善的会籍营销系统,具体流程包括：来宾健体纪录、带客人参观会所、体成分检测与教练讲解、会籍介绍、报价、高层介入、首次私教销售。这套标准流程的每个步骤都有其独特的作用与价值,能够大幅提高会籍成交率。对我国健身俱乐部发展的启示：实行以顾客为中心的关系营销,加强与国际健身行业的交流与合作,加大并拓宽健身销售人员的培训力度与范围。     

我国经营性健身俱乐部职业健身教练专业素质研究

通过文献资料法、问卷调查法及访谈法对我国经营性健身俱乐部职业健身教练专业素质进行调查研究。结果显示,要改变目前我国经营性健身俱乐部不温不火的经营现状,稳定经营性健身俱乐部健身会员的年保有量,解决现阶段职业健身教练专业素质发展滞后等原因,必须加强政府行业部门的培训机制和监管。以此来实现我国的经营性健身俱乐部职业健身教练专业素质的新跨越。     

一种新的直觉模糊权重的确定及定量处理方法

引进直觉模糊数的乘法运算,决策矩阵为直觉模糊数,通过对直觉模糊权重未知的决策问题提出一种新的相似度量,在此基础上建立求解直觉模糊权重方法,并对这一模糊特征进行定量处理．     

独立学院学生党建工作中几个问题的思考

笔者结合基层学生党建工作的具体实践经验和初步探索提出,可通过统分结合的学生党课培训形式,以综合素质培养为导向的党建导师以及"早选苗子早培养"地适时改进入党发展时机几个方面,切实加强与改进独立学院学生党建工作。     

Performance of the Grade of Membership Model Under a Variety of Sample Sizes,Group Size Ratios,and Differential Group Response Probabilities for Dichotomous Indicators

Social scientists are frequently interested in identifying latent subgroups within the population, based on a set of observed variables. One of the more common tools for this purpose is latent class analysis (LCA), which models a scenario involving k finite and mutually exclusive classes within the population. An alternative approach to this problem is presented by the grade of membership (GoM) model, in which individuals are assumed to have partial membership in multiple population subgroups. In this respect, it differs from the hard groupings associated with LCA. The current Monte Carlo simulation study extended on prior work on the GoM by investigating its ability to recover underlying subgroups in the population for a variety of sample sizes, latent group size ratios, and differing group response profiles. In addition, this study compared the performance of GoM with that of LCA. Results demonstrated that when the underlying process conforms to the GoM model form, the GoM approach yielded more accurate classification results than did LCA. In addition, it was found that the GoM modeling paradigm yielded accurate results for samples as small as 200, even when latent subgroups were very unequal in size. Implications for practice were discussed.     

一种新的模糊支持向量机方法

针对分类问题的支持向量机方法中存在对噪声和野值敏感的问题,提出了一种新的隶属度函数确定方法．研究和分析了目前针对这些问题所提出的模糊支持向量机方法,而在模糊支持向量机方法中,隶属度函数的设计是整个模糊算法的关键所在,文中主要对隶属度函数进行了深入地研究,在类中心向量方法的基础上,即在确定样本的隶属度时,对类中心距离方法进行改进,得到新的隶属度计算的方法,并从数值实验方面表明该方法的有效性和可行性．     

基于遗传算法的模糊控制优化及应用

模糊控制的精度取决于有关参数，如隶属函数、模糊关系矩阵。传统确定参数的方法是依靠专家的经验。本文采用遗传算法来优化参数，并应用该方法对一个模糊控制系统进行仿真研究，结果表明应用该方法提高了模糊控制的精度。     

基于用户偏好的文献推荐系统

本系统基于模糊联想记忆神经网络,建立偏好评价模型,根据用户偏好对搜索引擎搜索到的候选文献进行评级,为用户推荐偏好值高的文献。本系统的学习模块采用PCA-CG算法和误差反向传播算法,以用户阅读过的基准文献和其对应评级作为训练样本,对用户偏好进行学习;推理模块根据学习到的模糊规则和隶属函数来计算候选文献的偏好值,并以偏好值排序,把偏好值高的文献推荐给用户。把该模型应用于信息技术类文献的检索,实验表明系统提供的推荐文献具有较高可信度。     

Opportunities and limitations of using the linguistic category model as a measure of teachers’ implicit stereotypes in Germany

The current work focused on how ethnic stereotypes manifest themselves in language. The aim of our research was to investigate whether the Linguistic Category Model (LCM) is applicable to German teachers' language. More precisely, we investigated whether the categories proposed by Semin and Fiedler (1988) and mostly tested in the English-speaking world are applicable to German teachers' language and whether the pattern of Linguistic Intergroup Bias is evident in teachers' language. The analyses of two samples including in- and pre-service teachers (Study 1: N = 124, 76.6% female; Study 2: N = 104, 67.6% female) revealed difficulties in applying the LCM to German teachers' language. Further, neither of the two conducted studies found patterns of Linguistic Intergroup Bias in teachers’ language. We attribute this to a mismatch between the LCM and the German language and discuss the difficulties and limitations of applying the category system to other languages.