属性区间识别理论模型研究及其应用

根据程乾生教授创立的属性识别理论模型[1] ,提出了属性测度区间的概念 ,建立了属性区间识别理论模型 ,并在自然科学学术期刊质量评价中进行了应用 .     

基于属性识别准则大学生思想品德量化的数学模型

依据一定的社会评价标准,建立大学生思想品德评价的指标体系,利用现代数学方法——属性识别理论和层次分析方法,建立定量研究模型.     

基于模糊证据推理及改进TOPSIS的多属性群决策方法

针对不同识别框架多属性群决策问题属性准则度量的不确定性、随机性,定义基于梯形模糊数表征的属性准则评价等级相似度量,求解专家决策权重的最优解。对公共识别框架备选方案属性准则采用模糊证据推理过程综合专家评价等级置信度信息;利用可严格区分属性准则评价等级的相似度量,改进TOPSIS方法中备选方案属性准则评价等级置信度距离因子,获取备选方案逼近正负理想解的贴近度。实例分析以某通信企业电信产品市场竞争力评估为例,说明基于模糊证据推理、改进TOPSIS的多属性群决策问题求解过程,从属性准则专家模糊评价等级置信度集中获取直观的待评估产品市场竞争力排序结果,验证该方法解决此类决策问题的可行性与有效性。     

我国建筑企业核心竞争力评价体系研究

对建筑企业核心竞争力的理论渊源与内涵特征进行了分析,并通过对国内建筑企业的调研,构建了包括建筑引领能力、建筑整合能力和建筑品牌能力三个方面的建筑企业核心竞争力评价指标体系.在此基础上,运用层次分析法(AHP)和模糊综合评判方法(FCE)建立了建筑企业核心竞争力评价模型,并以实例为证,为建筑企业有效的识别与评价其核心竞争力提供了理论依据.     

基于属性测度的决策系统研究

在属性集和属性测度理论基础上系统地讨论了属性测度综合评价和决策系统.把综合决策系统分为三个子系统;第一个为单指标性能函数分析子系统,第二个为多指标综合性能函数分析子系统;第三个为识别分析子系统.并在属性测度决策系统的基础上,给出了一个应用实例.通过实例的分析,表明该系统是合理、实用和有效的.     

基于模糊属性测度的IT外包服务商核心竞争力评价方法研究

较少被关注的IT外包服务商的核心竞争力问题日益凸显.在确立核心竞争力内容的基础上,构建了评价指标体系,考虑了各级指标的权重.运用属性测度理论建立了模糊综合评价模型,通过属性测度分析和置信度准则法,获得综合评价结果并揭示出分类指标的强弱分布.应用结果表面,该方法避免了指标分级的主观性并有助于服务商发现薄弱环节.     

属性识别预警系统(AFS)——一种新的信用评价方法

在属性集和属性测度函数的基础上建立了属性测度预警系统.利用我国深、沪两交易所2000年公布的106家上市公司作为训练样本,计算出“差”企业和“好”企业的属性测度均值,构造出属性测度函数.进而对2001年公布的13家预亏公司进行预警分析,用置信度准则及最大属性测度准则判别,预警准确率分别达到92.31%和100%.因此,属性识别预警系统在信用评价方面具有良好的应用前景.     

基于属性区间识别理论的灾害损失等级划分

从属性区间识别理论的角度,探讨了自然灾害的等级划分方法.并通过实例进行了验证,结果表明,在自然灾害等级划分中,属性区间识别理论是一种科学、实用的划分方法.     

考虑混合信息表征和属性交互的目标导向新产品开发方案选择方法

将目标值融入到新产品开发方案选择中,考虑方案属性值达成目标值的情况,有助于企业选择更具竞争力的产品开发方案。针对属性值和目标值的混合信息表征以及属性交互的问题,提出基于目标导向决策分析和k-可加模糊测度的新产品开发方案选择方法。首先,考虑目标值和属性值表示为区间值、模糊数、语言值等混合信息的情形,将其转化为概率密度;结合属性的三种偏好,利用目标导向决策分析计算属性值达成目标值的概率。其次,基于属性交互方向和强度等信息,利用最小方差法识别k-可加模糊测度,进而利用Choquet积分算子集结各属性的目标达成概率作为产品开发方案选择的依据。最后,将方法应用于大型集成电路测试仪的开发方案选择,验证了有效性。     

高校教学质量评价的属性识别法

阐述了高校教学质量评价的属性识别法.并应用此方法对普通高等学校的教学质量进行评价,指出了属性识别理论与模糊综合评判方法相比的优越之处.为普通高等学校教学质量评价提供了一种量化处理的方法.     

Mapping distinctive competencies: a systemic approach

The paper discusses the role that formal modelling, both qualitative and quantitative, and the use of a group support system can play in developing strategic direction. In particular the paper focuses on the modelling of competencies as patterns and the way in which patterns often express the distinctiveness of competencies. The relationship between patterns of competencies and the goals of an organisation are explored as the basis for establishing core distinctive competencies and for developing and exploring the business model which will inform strategic direction. As an introduction the nature of strategic management is discussed, as it relates to the role of modelling competencies.     

区域经济发展的属性模式识别模型

本将属性模式识别系统应用于区域经济发展优先级别的评价中。在建立评价指标体系的基础上。根据各指标的权重，提出确定区域经济发展中心的属性测度模型。并以黄河流域的12个大城市为样本，给出了一种比较科学的、切实可行的区域经济发展优先级别的评价方法。     

精确计算Bingham流体圆管层流压降及速度分布规律的新方法

Bingham(宾汉)模型情况下,多采用通用公式进行圆管层流压降的解析计算,即将Bingham模型本构方程代入粘性流体圆管层流流动通用公式进行计算,仅能得到压降的解析解.新方法结合Bingham流体本构方程与运动方程,建立有关力学平衡方程,并运用代数方程的根式解理论对圆管层流流动时的非线性方程进行求解,可直接求得Bingham流体圆管层流压降及速度流核区半径的解析解,进一步可求得圆管层流速度解析解;Bingham流体圆管层流速度的直接影响因素为流量、塑性粘度和屈服值,研究发现速度流核宽度与屈服值成正比,与流量及塑性粘度成反比,且流核的宽度越大,流核区的速度越小.     

Why are enterprise resource planning systems indispensable to supply chain management?

Supply chain design is becoming a core competency, and the enterprise resource planning (ERP) system is expected to be an integral component of supply chain management (SCM). Installing an ERP system is, however, expensive and risky. IT managers must decide how to use their limited resources and invest in the right product. Can an ERP system directly improve SCM competency? This study proposes a conceptual framework featuring the ERP benefits and SCM competencies, and examines the impacts of the former on the latter. The results confirm the operational, managerial, and strategic benefits of ERP for the SCM competencies, but not the IT infrastructure and organizational benefits as significant predictors of them. Moreover, more than 80% of respondents think it necessary to first adopt an ERP system as the backbone of company operations before deploying other enterprise systems (ES), such as the SCM system.     

轴辐式枢纽网络系统的关键枢纽设施识别问题研究

作为轴辐式枢纽网络关键因素的节点,尤其是起到中转作用的枢纽节点是网络稳定运行的重要环节。当这些节点被中断时,将对整个网络产生严重的影响。最直接的表现方式即是网络运行成本的急剧上升。因此本文研究如何识别对网络成本具有决定性影响的关键节点。首先,提出枢纽功能性中断问题和模型,并通过禁忌搜索算法进行求解。最后通过中国航空实例验证模型和算法在实际应用中的有效性。结果显示模型和算法能够有效识别出中国航空网络较重要的关键城市以及相对影响较弱的城市。可以为资源有限情况下,中国航空网络中各城市防御设施的合理分级和部署,为重点保护城市的鉴别提供依据和帮助。     

Skill map based knowledge structures: some considerations about their identifiability

In this article identification of skill multi map based knowledge structures is studied. It is shown how some possible modifications to the skill map may lead the probabilistic knowledge structure to be not identifiable. More specifically, we refer to particular modifications such as adding skills, or adding competencies for an item q. We demonstrate how these changes in the skill map lead the derived knowledge structure to be backward-graded or forward-graded respectively, and how these two particular kinds of structures are not identifiable.     

Simplifying essential competencies for Taiwan civil servants using the rough set approach

Applying competency models to identify and develop capabilities of civil servants is now a leading strategy for every government. However, an ideal competency model usually contains too many intended competencies, impeding implementation. Recently, some scholars and experts argued that there is a maximum of eight competencies for effective assessment. Hence, how to simplify a set of competencies becomes an important issue. This study is presented as a test case to extend practical applications of rough set theory (RST) in the human resource field of Government. A well-known data mining technique, RST is a relatively new approach to this problem and is good at data reduction in qualitative analysis. Hence, the rough set approach is suitable for dealing with the qualitative problem in simplifying a set of competencies. This paper slimmed a set of competencies using RST, thus helping the Taiwan Government to better understand the perceived competency levels of its civil servants. Using the rough set analysis, this paper successfully reduced the numerous essential competencies into a more compact set, by omitting low-consensus competencies.