杂合灰色聚类与变精度粗糙模糊集的概率决策方法及应用

在基于粗糙集理论或扩展粗糙集理论的不确定性决策中,仅由数据集无法获得决策表,同时由于决策属性呈现模糊性,以致于难以获取概率决策规则。针对这一类决策问题,基于灰色定权聚类与优势粗糙集变精度方法,本文构建了一种的杂合决策方法。该方法首先利用中心点三角白化权函数的灰色定权聚类方法将包含不同量纲指标的知识表示系统生成多属性决策表,而后运用变精度粗糙模糊集进行决策分析,生成概率决策规则,最后以区域关键技术的选择为例,表明该模型的可行性与实用性。     

应用范成法加工对称凸轮轮廓的研究

对称凸轮轮廓的加工方法有多种,但各有不足,为了克服原有的加工方法的缺陷,提出了范成法加工对称凸轮轮廓曲线的方法,并阐明了范成法加工对称凸轮轮廓曲线的原理及实现方法.利用范成法加工对称凸轮,不但解决了其他加工方法加工接拍长、加工成本高甚至无法加工的问题,而且加工精度高,操作简单可靠,可广泛用于各种批量对称凸轮的加工生产.     

高精度高测速双纵模热稳频激光干涉仪研究

现代机械工业的发展使得数控机床和三坐标测量机等的运行速度已经达到1000mm/s,而目前商用外差干涉仪的测量速度不能满足这一要求。为此该文采用长度为206mm、频差约728MHz的普通全内腔He-Ne热稳频激光器为光源,外加带有高频振荡器形成的交流信号进行脉冲计数的信号处理电路,构成高精度高速双纵模热稳频激光干涉仪。通过实验对干涉仪的测量速度和精度进行了验证,其精度达到0.1μm/800mm。实验证明,该干涉仪可以对速度为1000mm/s的运动物体进行位移和速度测量。     

裂缝天线缝制造精度对电性能影响的预测

为了避免传统方法在分析结构因素对电性能影响时需要假设和近似处理的弊端,提出了根据平板裂缝天线生产制造中的数据,使用支持向量回归建立缝制造精度对电性能指标影响的预测方法。给出了一种以最小化支持向量回归的拟合能力和泛化能力为目标函数来选择支持向量回归机参数的方法,以方便该方法的工程应用。案例研究表明,该方法能够较准确地预测缝制造精度对电性能的影响;与传统的BP神经网络和最小二乘法对比,该方法具有更好的泛化能力,可以应用到平板裂缝天线的计算机辅助制造中。     

电信企业基于3G时代的精准营销

3G牌照的发放意味着以数据业务为主体的通信时代的来临,电信企业间的竞争将更加白热化。电信企业销售费用持续上升,销售收入的增长幅度却逐年下降,传统的大众营销理念已不适应电信领域的变革,营销的创新对于电信企业显得尤为重要。有鉴于此,在明晰电信企业精准营销的概念和内涵的基础上,分析了我国电信企业进行精准营销的必要性,并对电信企业的3G市场进行了科学的分析,研究并提出了电信企业在3G时代进行精准营销的举措。     

烟台市对外贸易发展战略研究

在分析了烟台市对外贸易发展的现状特点和存在问题的基础上,提出了烟台市外贸发展的具体战略措施.     

Variable precision rough set theory and data discretisation: an application to corporate failure prediction

Since the seminal work of Pawlak (International Journal of Information and Computer Science, 11 (1982) 341–356) rough set theory (RST) has evolved into a rule-based decision-making technique. To date, however, relatively little empirical research has been conducted on the efficacy of the rough set approach in the context of business and finance applications. This paper extends previous research by employing a development of RST, namely the variable precision rough sets (VPRS) model, in an experiment to predict between failed and non-failed UK companies. It also utilizes the FUSINTER discretisation method which neglates the influence of an ‘expert’ opinion. The results of the VPRS analysis are compared to those generated by the classical logit and multivariate discriminant analysis, together with more closely related non-parametric decision tree methods. It is concluded that VPRS is a promising addition to existing methods in that it is a practical tool, which generates explicit probabilistic rules from a given information system, with the rules offering the decision maker informative insights into classification problems.     

Adjustment for nonresponse with variables from different sources: Bias correction and precision loss,with application to the Swiss European Social Survey 2012

ABSTRACT

Adjustment for nonresponse should reduce the nonresponse bias without decreasing the precision of the estimates. Adjustment for nonresponses are commonly based on socio-demographic variables, although these variables may be poorly correlated with response propensities and with variables of interest. Such variables nevertheless have the advantage of being available for all sample units, whether or not they are participating in the survey. Alternatively, adjustment for nonresponse can be obtained from a follow-up survey aimed at sample units which did not participate in the survey and from which the variables are designed to be correlated with response propensities. However, information collected through these follow-up surveys is not available for people in the sample who participated neither in the survey nor in its nonresponse follow-up. These two sets of variables when used in a nonresponse model for the Swiss European Social Survey 2012 differ only slightly with regard to their effect on bias correction and on the precision of estimates. The variables from the follow-up are performing slightly better. In both cases, the adjustment for nonresponse performs poorly.     

振筒式传感器准确度目标规划优化模型及解

用改进单纯形算法求解振筒式压力传感器准确度的优化模型．经计算机解算求得最佳拟合方程及国产某振筒式压力传感器的准确度数据     

矩形分布孔组位置度的计算机辅助评定

针对生产中零件矩形分布孔组位置度合格性检验判断困难、方法落后、精度低等问题，本文提出了孔组位置度检验的计算机辅助评定方法。借助于计算机辅助评判系统，实现了对孔组位置度合格性、可修复性的自动判断和修正孔及其修正量的自动确定。